- Nielsen, Michael A., and Chuang, Isaac L. Quantum Computation and Quantum Information / Michael A. Nielsen and Isaac L. Includes bibliographical references and index. ISBN 0-521-63503-9 1. QA401.G47 2000 5110.8dc9 CIP ISBN 0 521 63235 8 hardback ISBN 0 521 63503 9 paperback.
- Chuang 2010C This publication is in copyright. Subject to statutory exception and to the provisions of relevant collective licensing agreements, no reproduction of any part may take place without the written permission of Cambridge University Press. First published 2000 Reprinted 2002, 2003, 2004, 2007, 2009.
- Solution manual Solutions to Class 1&2 - Transport Phenomena (Bird) Solution manual Introductory Transport Phenomena (R. Byron Bird, Warren E. Stewart, Edwin N. Lightfoot, Daniel J. Klingenberg) Solution manual Transport Processes and Unit Operations (3rd Ed., Christie J.
Those who want to read more (much more.): see the book by Nielsen and Chuang 117. Attribution, acknowledgments, subsequent updates Most of the material in Chapters 16 chapter numbers in this paragraph are for the 2011 ver-sion comes from the rst chapter of my PhD thesis 138, with a number of additions: the lower.
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Contents 0.1
Eratta list . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
2 Introduction to quantum mechanics
2 3
8 Quantum noise and quantum operations
37
9 Distance measures for quantum information
39
1
2
CONTENTS
0.1
Eratta list
∑ ∑ • p.101. eq (2.150) ρ = m p(m)ρm should be ρ′ = m p(m)ρm . ∑ ∑ • p.408. eq (9.49) i pi D(ρi , σi ) + D(pi , qi ) should be i pi D(ρi , σi ) + 2D(pi , qi ).
eqn (9.48) =
∑
pi Tr(P (ρi − σi )) +
i
≤
∑
∑
pi Tr(P (ρi − σi )) +
∑
i
=
∑
=
(pi − qi ) (∵ Tr(P σi ) ≤ 1)
i
∑
pi Tr(P (ρi − σi )) + 2
i
∑
(pi − qi ) Tr(P σi )
i
i (pi
− qi )
2
pi Tr(P (ρi − σi )) + 2D(pi , qi )
i
• p.409. Exercise 9.12. If ρ = σ, then D(ρ, σ) = 0. Furthermore trace distance is nonnegative. Therefore 0 ≤ D(E(ρ), E(σ)) ≤ 0 ⇒ D(E(ρ), E(σ)) = 0. So I think the map E is not strictly contractive. If p ̸= 1 and ρ ̸= σ, then D(E(ρ), E(σ)) < D(ρ, σ) is satisfied. • p.411. Exercise 9.16. eqn(9.73) Tr(A† B) = ⟨m|A ⊗ B|m⟩ should be Tr(AT B) = ⟨m|A ⊗ B|m⟩. ] ] [ [ 1 0 i 0 , In this case, . B= Simple counter example is the case that A = 0 0 0 0 ] ] [ ][ [ −i 0 −i 0 1 0 , = AB= 0 0 0 0 0 0 †
Tr(A† B) = −i, i 0 A⊗B = 0 0
0 0 0 0
0 0 0 0
0 0 0 0
⟨m|A ⊗ B|m⟩ = (⟨00| + ⟨11⟩)(A ⊗ B)(|00⟩ + |11⟩) = i. Thus Tr(A† B) ̸= ⟨m|A ⊗ B|m⟩. By using following relation, we can prove. (I ⊗ A) |m⟩ = (AT ⊗ I) |m⟩ Tr(A) = ⟨m|I ⊗ A|m⟩ Tr(AT B) = Tr(BAT ) = ⟨m|I ⊗ BAT |m⟩ = ⟨m|(I ⊗ B)(I ⊗ AT )|m⟩ = ⟨m|(I ⊗ B)(A ⊗ I)|m⟩ = ⟨m|A ⊗ B|m⟩ .
Chapter 2
Introduction to quantum mechanics 2.1
[
] [ ] [ ] [ ] 1 1 2 0 + − = −1 2 1 0
2.2
A |0⟩ = A11 |0⟩ + A21 |1⟩ = |1⟩ ⇒ A11 = 0, A21 = 1 A |1⟩ = A12 |0⟩ + A22 |1⟩ = |0⟩ ⇒ A12 = 1, A22 = 0 ] [ 0 1 ∴A= 1 0
input: {|0⟩ , |1⟩}, output: {|1⟩ , |0⟩} A |0⟩ = A11 |1⟩ + A21 |0⟩ = |1⟩ ⇒ A11 = 1, A21 = 0 A |1⟩ = A12 |1⟩ + A22 |0⟩ = |0⟩ ⇒ A12 = 0, A22 = 1 [ ] 1 0 A= 0 1 2.3 From eq (2.12) A |vi ⟩ =
∑
Aji |wj ⟩
j
B |wj ⟩ =
∑ k
3
Bkj |xk ⟩
4
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
Thus ∑ BA |vi ⟩ = B Aji |wj ⟩ =
∑
j
Aji B |wj ⟩
j
=
∑ j,k
=
∑
Aji Bkj |xk ⟩
∑
Bkj Aji |xk ⟩
k
j
k
∑
∑ = (BA)ki |xk ⟩ ∴(BA)ki =
Bkj Aji
j
2.4
I |vj ⟩ =
∑
Iij |vi ⟩ = |vj ⟩ , ∀j.
i
⇒ Iij = δij
2.5 Defined inner product on C n is ((y1 , · · · , yn ), (z1 , · · · , zn )) =
∑
yi∗ zi .
i
Verify (1) of eq (2.13). ( (y1 , · · · , yn ),
∑
) λi (zi1 , · · · , zin )
=
i
∑
yi∗
i
=
∑
=
j
=
∑
λj zji
j
yi∗ λj zji
i,j
∑
∑
λj
( ∑
) yi∗ zji
i
λj ((y1 , · · · , yn ), (zj1 , · · · , zjn ))
j
=
∑ i
λi ((y1 , · · · , yn ), (zi1 , · · · , zin )) .
5 Verify (2) of eq (2.13), ( ((y1 , · · · , yn ), (z1 , · · · , zn ))∗ = ( = ( =
∑
)∗ yi∗ zi
i
∑
) yi zi∗
i
∑
(2.1)
(2.2) )
zi∗ yi
(2.3)
i
= ((z1 , · · · , zn ), (y1 , · · · , yn ))
(2.4)
. Verify (3) of eq (2.13), ((y1 , · · · , yn ), (y1 , · · · , yn )) =
∑
yi∗ yi
i
=
∑
|yi |2
i
∑ Since |yi |2 ≥ 0 for all i. Thus i |yi |2 = ((y1 , · · · , yn ), (y1 , · · · , yn )) ≥ 0. From now on, I will show the following statement, ((y1 , · · · , yn ), (y1 , · · · , yn )) = 0 iff (y1 , · · · , yn ) = 0. (⇐) This is obvious. ∑ (⇒) Suppose ((y1 , · · · , yn ), (y1 , · · · , yn )) = 0. Then i |yi |2 = 0. ∑ Since |yi |2 ≥ 0 for all i, if i |yi |2 = 0, then |yi |2 = 0 for all i. Therefore |yi |2 = 0 ⇔ yi = 0 for all i. Thus, (y1 , · · · , yn ) = 0.
2.6 ( ∑
) λi |wi ⟩ , |v⟩
( |v⟩ ,
=
i
[ =
∑
)∗ λi |wi ⟩
i
∑
λi (|v⟩ , |wi ⟩)
i
=
∑
λ∗i (|v⟩ , |wi ⟩)∗
i
=
∑ i
2.7
]∗
λ∗i (|wi ⟩ , |v⟩)
(∵ linearlity in the 2nd arg.)
6
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
] 1 =1−1=0 −1 [ ] |w⟩ |w⟩ 1 1 √ √ = = ∥|w⟩∥ 2 1 ⟨w|w⟩ [ ] |v⟩ |v⟩ 1 1 =√ =√ −1 ∥|v⟩∥ 2 ⟨v|v⟩ [ ] ⟨w|v⟩ = 1 1
[
2.8 If k = 1, |w2 ⟩ − ⟨v1 |w2 ⟩ |v1 ⟩ ∥|w2 ⟩ − ⟨v1 |w2 ⟩ |v1 ⟩∥ ( ) |w2 ⟩ − ⟨v1 |w2 ⟩ |v1 ⟩ ⟨v1 |v2 ⟩ = ⟨v1 | ∥|w2 ⟩ − ⟨v1 |w2 ⟩ |v1 ⟩∥ ⟨v1 |w2 ⟩ − ⟨v1 |w2 ⟩ ⟨v1 |v1 ⟩ = ∥|w2 ⟩ − ⟨v1 |w2 ⟩ |v1 ⟩∥ = 0. |v2 ⟩ =
Suppose {v1 , · · · vn } (n ≤ d − 1) is a orthonormal basis. Then ∑ ) |wn+1 ⟩ − ni=1 ⟨vi |wn+1 ⟩ |vi ⟩ ∑ (j ≤ n) ⟨vj |vn+1 ⟩ = ⟨vj | ∥|wn+1 ⟩ − ni=1 ⟨vi |wn+1 ⟩ |vi ⟩∥ ∑n ⟨vj |wn+1 ⟩ − i=1 ⟨vi |wn+1 ⟩ ⟨vj |vi ⟩ ∑ = ∥|wn+1 ⟩ − ni=1 ⟨vi |wn+1 ⟩ |vi ⟩∥ ∑ ⟨vj |wn+1 ⟩ − ni=1 ⟨vi |wn+1 ⟩ δij ∑ = ∥|wn+1 ⟩ − ni=1 ⟨vi |wn+1 ⟩ |vi ⟩∥ ⟨vj |wn+1 ⟩ − ⟨vj |wn+1 ⟩ ∑ = ∥|wn+1 ⟩ − ni=1 ⟨vi |wn+1 ⟩ |vi ⟩∥ (
= 0. Thus Gram-Schmidt procedure produces an orthonormal basis. 2.9
σ0 = I = |0⟩ ⟨0| + |1⟩ ⟨1| σ1 = X = |0⟩ ⟨1| + |1⟩ ⟨0| σ2 = Y = −i |0⟩ ⟨1| + i |1⟩ ⟨0| σ3 = Z = |0⟩ ⟨0| − |1⟩ ⟨1|
2.10
7
|vj ⟩ ⟨vk | = IV |vj ⟩ ⟨vk | IV ) ( ) ( ∑ ∑ |vq ⟩ ⟨vq | = |vp ⟩ ⟨vp | |vj ⟩ ⟨vk | p
=
∑
q
|vp ⟩ ⟨vp |vj ⟩ ⟨vk |vq ⟩ ⟨vq |
p,q
=
∑
δpj δkq |vp ⟩ ⟨vq |
p,q
Thus (|vj ⟩ ⟨vk |)pq = δpj δkq 2.11 [
] ([ ]) 0 1 −λ 1 X= , det(X − λI) = det = 0 ⇒ λ = ±1 1 0 1 −λ If λ = −1,
[
Thus
1 1 1 1
][ ] [ ] c1 0 = c2 0
[ ] [ ] 1 −1 c1 |λ = −1⟩ = =√ c2 2 1
If λ = 1
[ ] 1 1 |λ = 1⟩ = √ 2 1 [
−1 0 X= 0 1
] w.r.t. {|λ = −1⟩ , |λ = 1⟩}
2.12 ([ ] ) 1 0 − λI = (1 − λ)2 = 0 ⇒ λ = 1 det 1 1 Therefore the eigenvector associated with eigenvalue λ = 1 is [ ] 0 |λ = 1⟩ = 1 [ ] 0 0 Because |λ = 1⟩ ⟨λ = 1| = , 0 1 [ ] [ ] 1 0 0 0 ̸= c |λ = 1⟩ ⟨λ = 1| = 1 1 0 c
8
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
2.13 Suppose |ψ⟩ , |ϕ⟩ are arbitrary vectors in V . ( )∗ (|ψ⟩ , (|w⟩ ⟨v|) |ϕ⟩)∗ = (|w⟩ ⟨v|)† |ψ⟩ , |ϕ⟩ ( ) = |ϕ⟩ , (|w⟩ ⟨v|)† |ψ⟩ = ⟨ϕ| (|w⟩ ⟨v|)† |ψ⟩ . On the other hand, (|ψ⟩ , (|w⟩ ⟨v|) |ϕ⟩)∗ = (⟨ψ|w⟩ ⟨v|ϕ⟩)∗ = ⟨ϕ|v⟩ ⟨w|ψ⟩ . Thus ⟨ϕ| (|w⟩ ⟨v|)† |ψ⟩ = ⟨ϕ|v⟩ ⟨w|ψ⟩ for arbitrary vectors |ψ⟩ , |ϕ⟩ ∴ (|w⟩ ⟨v|)† = |v⟩ ⟨w|
2.14
((ai Ai )† |ϕ⟩ , |ψ⟩) = (|ϕ⟩ , ai Ai |ψ⟩) = ai (|ϕ⟩ , Ai |ψ⟩) = ai (A†i |ϕ⟩ , |ψ⟩) = (a∗i A†i |ϕ⟩ , |ψ⟩) ∴ (ai Ai )† = a∗i A†i
2.15
((A† )† |ψ⟩ , |ϕ⟩) = (|ψ⟩ , A† |ϕ⟩) = (A† |ϕ⟩ , |ψ⟩)∗ = (|ϕ⟩ , A |ψ⟩)∗ = (A |ψ⟩ , |ϕ⟩) ∴ (A† )† = A
2.16
9
P =
∑
|i⟩ ⟨i| .
i
P2 =
( ∑
) |i⟩ ⟨i|
i
=
∑
∑
|j⟩ ⟨j|
j
|i⟩ ⟨i|j⟩ ⟨j|
i,j
=
∑
|i⟩ ⟨j| δij
i,j
=
∑
|i⟩ ⟨i|
i
=P
2.17 Proof. (⇒) Suppose A is Hermitian. Then A = A† . Let |λ⟩ be eigenvectors of A with eigenvalues λ, that is, A |⟩ = λ |λ⟩ . Therefore ⟨λ|A|λ⟩ = λ ⟨λ|λ⟩ = λ. On the other hand, λ∗ = ⟨λ|A|λ⟩∗ = ⟨λ|A† |λ⟩ = ⟨λ|A|λ⟩ = λ ⟨λ|λ⟩ = λ. Hence eigenvalues of Hermitian matrix are real. (⇐) Suppose eigenvalues of A are real. From spectral theorem, normal matrix A can be written by ∑ A= (2.5) λi |λi ⟩⟨λi | i
where λi are real eigenvalues with eigenvectors |λi ⟩. By taking adjoint, we get ∑ A† = λ∗i |λi ⟩⟨λi | i
=
∑ i
=A Thus A is Hermitian. 2.18
λi |λi ⟩⟨λi |
(∵ λi are real)
10
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS Suppose |v⟩ is a eigenvector with corresponding eigenvalue λ. U |v⟩ = λ |v⟩ . 1 = ⟨v|v⟩ = ⟨v| I |v⟩ = ⟨v| U † U |v⟩ = λλ∗ ⟨v|v⟩ = ∥λ∥2 ∴ λ = eiθ
2.19 [ ][ ] [ ] 0 1 0 1 1 0 X = = =I 1 0 1 0 0 1 2
2.20 U≡
∑
|wi ⟩ ⟨vi |
i ′
Aij = ⟨vi |A|vj ⟩ = ⟨vi |U U † AU U † |vj ⟩ ∑ = ⟨vi |wp ⟩ ⟨vp |vq ⟩ ⟨wq |A|wr ⟩ ⟨vr |vs ⟩ ⟨ws |vj ⟩ p,q,r,s
=
∑
′′
⟨vi |wp ⟩ δpq Aqr δrs ⟨ws |vj ⟩
p,q,r,s
=
∑
′′
⟨vi |wp ⟩ ⟨wr |vj ⟩ Apr
p,r
2.21 Suppose M be Hermitian. Then M = M † . M = IM I = (P + Q)M (P + Q) = P M P + QM P + P M Q + QM Q
Now P M P = λP , QM P = 0, P M Q = P M † Q = (QM P )∗ = 0. Thus M = P M P + QM Q. Next prove QM Q is normal. QM Q(QM Q)† = QM QQM † Q = QM † QQM Q (M = M † ) = (QM † Q)QM Q Therefore QM Q is normal. By induction, QM Q is diagonal ... (following is same as Box 2.2)
11
2.22 Suppose A is a Hermitian operator and |vi ⟩ are eigenvectors of A with eigenvalues λi . Then ⟨vi |A|vj ⟩ = λj ⟨vi |vj ⟩ . On the other hand, ⟨vi |A|vj ⟩ = ⟨vi |A† |vj ⟩ = ⟨vj |A|vi ⟩∗ = λ∗i ⟨vj |vi ⟩∗ = λ∗i ⟨vi |vj ⟩ = λi ⟨vi |vj ⟩ Thus (λi − λj ) ⟨vi |vj ⟩ = 0. If λi ̸= λj , then ⟨vi |vj ⟩ = 0. 2.23 Suppose P is projector and |λ⟩ are eigenvectors of P with eigenvalues λ. Then P 2 = P . P |λ⟩ = λ |λ⟩ and P |λ⟩ = P 2 |λ⟩ = λP |λ⟩ = λ2 |λ⟩ . Therefore λ = λ2 λ(λ − 1) = 0 λ = 0 or 1.
2.24 Def of positive ⟨v|A|v⟩ ≥ 0 for all |v⟩. Suppose A is a positive operator. A can be decomposed as follows. A=
A + A† A − A† +i 2 2i
= B + iC
where B =
A + A† A − A† , C= . 2 2i
Now operators B and C are Hermitian.
⟨v|A|v⟩ = ⟨v|B + iC|v⟩ = ⟨v|B|v⟩ + i ⟨v|C|v⟩ = α + iβ where α = ⟨v|B|v⟩ , β = ⟨v|C|v⟩ . Since B and C are Hermitian, α, β ∈ R. From def of positive operator, β should be vanished because ⟨v|A|v⟩ is real. Hence β = ⟨v|C|v⟩ = 0 for all |v⟩, i.e. C = 0. Therefore A = A† .
12
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
0013
0010
Reference: MIT 8.05 Lecture note by Prof. Barton Zwiebach. https://ocw.mit.edu/courses/physics/8-05-quantum-physics-ii-fall-2013/ lecture-notes/MIT8_05F13_Chap_03.pdf Proposition. 2.0.1. Let T be a linear operator in a complex vector space V . If (u, T v) = 0 for all u, v ∈ V , then T = 0. Proof. Suppose u = T v. Then (T v, T v) = 0 for all v implies that T v = 0 for all v. Therefore T = 0. Theorem. 2.0.1. If (v, Av) = 0 for all v ∈ V , then A = 0. Proof. First, we show that (u, T v) = 0 if (v, Av) = 0. Then apply proposition 2.0.1 Suppose u, v ∈ V . Then (u, T v) is decomposed as [ 1 1 (u, T v) = (u + v, T (u + v)) − (u − v, T (u − v)) + (u + iv, T (u + iv)) 4 i ] 1 − (u − iv, T (u − iv)) . i If (v, T v) = 0 for all v ∈ V , the right hand side of above eqn vanishes. Thus (u, T v) = 0 for all u, v ∈ V . Then T = 0.
0012
2.25
⟨ψ|A† A|ψ⟩ = ∥A |ψ⟩∥2 ≥ 0 for all |ψ⟩ .
Thus A† A is positive.
2.26
1 1 |ψ⟩⊗2 = √ (|0⟩ + |1⟩) ⊗ √ (|0⟩ + |1⟩ 2 2 1 = (|00⟩ + |01⟩ + |10⟩ + |11⟩) 2 1 1 1 = 2 1 1
0011
13
1 1 1 |ψ⟩⊗3 = √ (|0⟩ + |1⟩) ⊗ √ (|0⟩ + |1⟩ ⊗ √ (|0⟩ + |1⟩ 2 2 2 1 = √ (|000⟩ + |001⟩ + |010⟩ + |011⟩ + |100⟩ + |101⟩ + |110⟩ + |111⟩) 2 2 1 1 1 1 1 √ = 2 2 1 1 1 1 2.27 [
] [ ] 0 1 1 0 ⊗ 1 0 0 −1 0 0 1 0 0 0 0 −1 = 1 0 0 0 0 −1 0 0
X ⊗Z =
[ 1 I ⊗X = 0 0 1 = 0 0
] ] [ 0 1 0 ⊗ 1 0 1 1 0 0 0 0 0 0 0 1 0 1 0
[ 0 X ⊗I = 1 0 0 = 1 0
] ] [ 1 0 1 ⊗ 0 1 0 0 1 0 0 0 1 0 0 0 1 0 0
In general, tensor product is not commutable. 2.28
∗ A11 B · · · A1n B .. .. (A ⊗ B)∗ = ... . . Am1 B · · · Amn B ∗ ∗ A11 B · · · A∗1n B ∗ .. .. = ... . . A∗m1 B ∗ · · · A∗mn B ∗ = A∗ ⊗ B ∗ .
14
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
T A11 B · · · A1n B .. .. (A ⊗ B)T = ... . . Am1 B · · · Amn B A11 B T · · · Am1 B T .. .. = ... . . T T A1n B · · · Amn B T A11 B · · · A1m B T .. .. = ... . . · · · Anm B T
An1 B T = AT ⊗ B T .
(A ⊗ B)† = ((A ⊗ B)∗ )T = (A∗ ⊗ B ∗ )T = (A∗ )T ⊗ (B ∗ )T = A† ⊗ B † . 2.29 Suppose U1 and U2 are unitary operators. Then (U1 ⊗ U2 )(U1 ⊗ U2 )† = U1 U1† ⊗ U2 U2† = I ⊗ I. Similarly, (U1 ⊗ U2 )† (U1 ⊗ U2 ) = I ⊗ I. 2.30 Suppose A and B are Hermitian operators. Then (A ⊗ B)† = A† ⊗ B † = A ⊗ B.
(2.6)
Thus A ⊗ B is Hermitian. 2.31 Suppose A and B are positive operators. Then ⟨ψ| ⊗ ⟨ϕ| (A ⊗ B) |ψ⟩ ⊗ |ϕ⟩ = ⟨ψ|A|ψ⟩ ⟨ϕ|B|ϕ⟩ . Since A and B are positive operators, ⟨ψ|A|ψ⟩ ≥ 0 and ⟨ϕ|B|ϕ⟩ ≥ 0 for all |ψ⟩ , |ϕ⟩. Then ⟨ψ|A|ψ⟩ ⟨ϕ|B|ϕ⟩ ≥ 0. Thus A ⊗ B is positive if A and B are positive. 2.32
15 Suppose P1 and P2 are projectors. Then (P1 ⊗ P2 )2 = P12 ⊗ P22 = P1 ⊗ P2 . Thus P1 ⊗ P2 . is also projector. 2.33 [ ] 1 1 1 H=√ 2 1 −1
H ⊗2
(2.7)
1 1 1 1 [ ] [ ] 1 1 1 1 1 −1 1 −1 1 1 1 =√ ⊗√ = 2 1 1 −1 −1 2 1 −1 2 1 −1 1 −1 −1 1
2.34 ] 4 3 . Suppose A = 3 4 [
det(A − λI) = (4 − λ)2 − 32 = λ2 − 8λ + 7 = (λ − 1)(λ − 7) ] 1 , |λ = 7⟩ = −1
[ Eigenvalues of A are λ = 1, 7. Corresponding eigenvectors are |λ = 1⟩ = [ ] 1 √1 . 2 1 Thus A = |λ = 1⟩⟨λ = 1| + 7 |λ = 7⟩⟨λ = 7| . √
√ A = |λ = 1⟩⟨λ = 1| + 7 |λ = 7⟩⟨λ = 7| [ ] √ [ ] 1 1 −1 7 1 1 = + 2 −1 1 2 1 1 √ √ ] [ 1 1 + 7 −1 + 7 √ √ = 2 −1 + 7 1 + 7
log(A) = log(1) |λ = 1⟩⟨λ = 1| + log(7) |λ = 7⟩⟨λ = 7| [ ] log(7) 1 1 = 1 1 2
√1 2
16
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
2.35
⃗v · ⃗σ =
3 ∑
vi σi
i=1
[
] [ ] [ ] 0 1 0 −i 1 0 = v1 + v2 + v3 1 0 i 0 0 −1 [ ] v3 v1 − iv2 = v1 + iv2 −v3
det(⃗v · ⃗σ − λI) = (v3 − λ)(−v3 − λ) − (v1 − iv2 )(v1 + iv2 ) = λ2 − (v12 + v22 + v32 ) = λ2 − 1 (∵ |⃗v | = 1) Eigenvalues are λ = ±1. Let |λ±1 ⟩ be eigenvectors with eigenvalues ±1. Since ⃗v · ⃗σ is Hermitian, ⃗v · ⃗σ is diagonalizable. Then ⃗v · ⃗σ = |λ1 ⟩⟨λ1 | − |λ−1 ⟩⟨λ−1 | Thus exp (iθ⃗v · ⃗σ ) = eiθ |λ1 ⟩⟨λ1 | + e−iθ |λ−1 ⟩⟨λ−1 | = (cos θ + i sin θ) |λ1 ⟩⟨λ1 | + (cos θ − i sin θ) |λ−1 ⟩⟨λ−1 | = cos θ(|λ1 ⟩⟨λ1 | + |λ−1 ⟩⟨λ−1 |) + i sin θ(|λ1 ⟩⟨λ1 | − |λ−1 ⟩⟨λ−1 |) = cos(θ)I + i sin(θ)⃗v · ⃗σ . ∵ Since ⃗v · ⃗σ is Hermitian, |λ1 ⟩ and |λ−1 ⟩ are orthogonal. Thus |λ1 ⟩⟨λ1 | + |λ−1 ⟩⟨λ−1 | = I.
2.36 ([ 0 Tr(σ1 ) = Tr 1 ([ 0 Tr(σ2 ) = Tr i ([ 1 Tr(σ3 ) = Tr 0
2.37
1 0
])
=0 ]) −i =0 0 ]) 0 =1−1=0 −1
17
Tr(AB) =
∑
⟨i|AB|i⟩
i
=
∑
⟨i|AIB|i⟩
i
=
∑
⟨i|A|j⟩ ⟨j|B|i⟩
i,j
=
∑
⟨j|B|i⟩ ⟨i|A|j⟩
i,j
=
∑
⟨j|BA|j⟩
j
= Tr(BA) 2.38 Tr(A + B) =
∑
⟨i|A + B|i⟩
i
=
∑ (⟨i|A|i⟩ + ⟨i|B|i⟩) i
=
∑
⟨i|A|i⟩ +
i
∑
⟨i|B|i⟩
i
= Tr(A) + Tr(B).
Tr(zA) =
∑
⟨i|zA|i⟩
i
=
∑
z ⟨i|A|i⟩
i
=z
∑
⟨i|A|i⟩
i
= z Tr(A). 2.39 (1) (A, B) ≡ Tr(A† B). (i) ( A,
∑
) λi Bi
[
(
= Tr A†
i
∑
)] λ i Bi
i
= Tr(A† λ1 B1 ) + · · · + Tr(A† λn Bn ) †
†
= λ1 Tr(A B1 ) + · · · + λn Tr(A Bn ) ∑ = λi Tr(A† Bi ) i
(∵ Execise 2.38)
18
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS (ii) ( )∗ (A, B)∗ = Tr(A† B) ∗ ∑ = ⟨i|A† |j⟩ ⟨j|B|i⟩ i,j
=
∑
∗
⟨i|A† |j⟩ ⟨j|B|i⟩∗
i,j
=
∑
∗
⟨j|B|i⟩∗ ⟨i|A† |j⟩
i,j
=
∑
⟨i|B † |j⟩ ⟨j|A|i⟩
i,j
=
∑
⟨i|B † A|i⟩
i
= Tr(B † A) = (B, A). (iii) (A, A) = Tr(A† A) ∑ = ⟨i|A† A|i⟩ i
Since A† A is positive, ⟨i|A† A|i⟩ ≥ 0 for all |i⟩. Let ai be i-th column of A. If ⟨i|A† A|i⟩ = 0, then ⟨i|A† A|i⟩ = a†i ai = ∥ai ∥2 = 0 iff ai = 0. Therefore (A, A) = 0 iff A = 0. (2) (3) 2.40
[X, Y ] = XY [ 0 = 1 [ i = 0 [ 2i = 0 = 2iZ
−YX ][ ] [ ][ ] 1 0 −i 0 −i 0 1 − 0 i 0 i 0 1 0 ] [ ] 0 −i 0 − −i 0 i ] 0 −2i
19
] [ ][ ] [ ][ 1 0 0 −i 0 −i 1 0 − [Y, Z] = i 0 0 −1 0 −1 i 0 [ ] 0 2i = 2i 0 = 2iX
[ ][ ] [ ][ ] 1 0 0 1 0 1 1 0 [Z, X] = − 0 −1 1 0 1 0 0 −1 [ ] 0 −i = 2i i 0 = 2iY
2.41 {σ1 , σ2 } = σ1 σ2 + σ2 σ1 ] ][ ] [ ][ [ 0 −i 0 1 0 1 0 −i + = 1 0 i 0 1 0 i 0 ] ] [ [ −i 0 i 0 + = 0 i 0 −i =0
] ][ ] [ ][ [ 0 −i 1 0 0 −i 1 0 + {σ2 , σ3 } = 0 −1 i 0 0 −1 i 0 =0
] ][ ] [ ][ 0 1 1 0 0 1 1 0 {σ3 , σ1 } = + 1 0 0 −1 0 −1 1 0 [
=0
σ02 = I 2 = I [ ]2 0 1 2 σ1 = =I 1 0 [ ]2 0 −i 2 σ2 = =I i 0 [ ]2 1 0 2 σ3 = =I 0 −1
20
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
2.42 [A, B] + {A, B} AB − BA + AB + BA = = AB 2 2 2.43 From eq (2.75) and eq (2.76), {σj , σk } = 2δjk I. From eq (2.77), [σj , σk ] + {σj , σk } 2 ∑3 2i l=1 ϵjkl σl + 2δjk I = 2 3 ∑ = δjk I + i ϵjkl σl
σj σk =
l=1
2.44 By assumption, [A, B] = 0 and {A, B} = 0, then AB = 0. Since A is invertible, multiply by from left, then
A−1
A−1 AB = 0 IB = 0 B = 0. 2.45 [A, B]† = (AB − BA)† = B † A† − A† B † ] [ = B † , A† 2.46 [A, B] = AB − BA = −(BA − AB) = − [B, A] 2.47 (i [A, B])† = −i [A, B]† [ ] = −i B † , A† = −i [B, A] = i [A, B]
21
2.48 (Positive ) ∑ Since P is positive, it is diagonalizable. Then P = i λi |i⟩⟨i|, (λi ≥ 0). √ ∑ ∑√ √ √ λi |i⟩⟨i| = P. J = P †P = P P = P 2 = λ2i |i⟩⟨i| = i
i
Therefore polar decomposition of P is P = U P for all P . Thus U = I, then P = P . (Unitary) Suppose unitary U is decomposed by U = W J where W is unitary and J is positive, √ † J = U U. √ √ J = U †U = I = I Since unitary operators are invertible, W = U J −1 = U I −1 = U I = U . Thus polar decomposition of U is U = U . (Hermitian) Suppose H = U J. J=
√
H †H =
√
HH =
√ H 2.
√ Thus H = U H 2 . 0013
0010
√
In general, H ̸= H 2 . ∑ From spectral decomposition, H = i λi |i⟩⟨i|, λi ∈ R. √∑ ∑ ∑√ √ H2 = λ2i |i⟩⟨i| = |λi | |i⟩⟨i| ̸= H λ2i |i⟩⟨i| = i
i
i
0012
0011
2.49 ∑ Normal matrix is diagonalizable, A = i λi |i⟩⟨i|. √ ∑ J = A† A = |λi | |i⟩⟨i| . U=
∑
i
|ei ⟩⟨i|
i
A = UJ =
∑
|λi | |ei ⟩⟨i| .
i
2.50 [
] [ ] 1 0 2 1 † Define A = . A A= . 1 1 1 1 Characteristic equation of A† A is det(A† A − λI) = λ2 − 3λ + 1 = 0.] Eigenvalues of A† A are [ √ 2√ . λ± = 3±2 5 and associated eigenvectors are |λ± ⟩ = √ 1 √ 10∓2 5 −1 ± 5
22
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
A† A = λ+ |λ+ ⟩⟨λ+ | + λ− |λ− ⟩⟨λ− | .
J=
√
√ √ λ+ |λ+ ⟩⟨λ+ | + λ− |λ− ⟩⟨λ− | √ √ √ √ [ √ √ [ √ √ ] ] 3+ 5 5− 5 3− 5 5+ 5 4 2 5 − 2 4 −2 5 − 2 √ √ + √ √ = · · 2 5−2 6−2 5 −2 5 − 2 6 + 2 5 2 40 2 40
A† A =
1 1 |λ+ ⟩⟨λ+ | + √ |λ− ⟩⟨λ− | . J −1 = √ λ+ λ− U = AJ −1 I’m tired. 2.51
†
H H=
(
])† ] ] ] ] [ [ [ [ [ 1 1 1 1 1 1 1 1 1 1 2 0 1 1 1 √ √ √ =√ = = I. 2 0 2 2 1 −1 2 1 −1 2 1 −1 2 1 −1
2.52
†
H =
(
])† ] [ [ 1 1 1 1 1 1 √ =√ = H. 2 1 −1 2 1 −1
Thus H 2 = I.
2.53 (
)( ) 1 1 1 det (H − λI) = √ − λ −√ − λ − 2 2 2 1 1 = λ2 − − 2 2 2 =λ −1 ] 1√ . −1 ± 2
[ Eigenvalues are λ± = ±1 and associated eigenvectors are |λ± ⟩ = √ 2.54
1 √ 4∓2 2
23 Since [A, B] = 0, A and B are simultaneously diagonalize, A = ( exp(A) exp(B) =
∑
)( exp(ai ) |i⟩⟨i|
i
=
∑
∑
∑
i ai |i⟩⟨i|,
B=
∑
i bi |i⟩⟨i|.
) exp(bi ) |i⟩⟨i|
i
exp(ai + bj ) |i⟩ ⟨i|j⟩ ⟨j|
i,j
=
∑
exp(ai + bj ) |i⟩⟨j| δi,j
i,j
=
∑
exp(ai + bi ) |i⟩⟨i|
i
= exp(A + B)
2.55
H=
∑
E |E⟩⟨E|
E
) ( ) ( iH(t2 − t1 ) iH(t2 − t1 ) exp U (t2 − t1 )U (t2 − t1 ) = exp − ℏ ℏ ( ) )( ( ) ) ∑( iE(t2 − t1 ) iE ′ (t2 − t1 ) = exp − |E⟩⟨E| exp − |E ′ ⟩⟨E ′ | ℏ ℏ E,E ′ ( ) ) ∑( i(E − E ′ )(t2 − t1 ) = exp − |E⟩⟨E ′ | δE,E ′ ℏ E,E ′ ∑ = exp(0) |E⟩⟨E| †
E
=
∑
|E⟩⟨E|
E
=I Similarly, U † (t2 − t1 )U (t2 − t1 ) = I. 2.56 U=
∑
i λi |λi ⟩⟨λi |
log(U ) =
(|λi | = 1). ∑
log(λj ) |λj ⟩⟨λj | =
j
K = −i log(U ) =
∑
∑
iθj |λj ⟩⟨λj | where θj = arg(λj )
j
θj |λj ⟩⟨λj | .
j
K † = (−i log U )† =
∑ j
† θj |λj ⟩⟨λj | =
∑ j
θj∗ |λj ⟩⟨λj | =
∑ j
θj |λj ⟩⟨λj | = K
24
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
2.57 Ll |ψ⟩ |ϕ⟩ ≡ √ ⟨ψ|L†l Ll |ψ⟩ † ⟨ϕ|Mm Mm |ϕ⟩
=
† ⟨ψ|L†l Mm Mm Ll |ψ⟩
⟨ψ|L†l Ll |ψ⟩
√
⟨ψ|L†l Ll |ψ⟩ Mm Ll |ψ⟩ Mm Ll |ψ⟩ Nlm |ψ⟩ √ =√ ·√ =√ =√ † † † † ⟨ψ|L†l Ll |ψ⟩ ⟨ψ|L†l Mm Mm Ll |ψ⟩ ⟨ψ|L†l Mm Mm Ll |ψ⟩ ⟨ψ|Nlm Nlm |ψ⟩ ⟨ϕ|Mm Mm |ϕ⟩ Mm |ϕ⟩
2.58 ⟨M ⟩ = ⟨ψ|M |ψ⟩ = ⟨ψ|m|ψ⟩ = m ⟨ψ|ψ⟩ = m ⟨M 2 ⟩ = ⟨ψ|M 2 |ψ⟩ = ⟨ψ|m2 |ψ⟩ = m2 ⟨ψ|ψ⟩ = m2 deviation = ⟨M 2 ⟩ − ⟨M ⟩2 = m2 − m2 = 0. 2.59 ⟨X⟩ = ⟨0|X|0⟩ = ⟨0|1⟩ = 0 ⟨X 2 ⟩ = ⟨0|X 2 |0⟩ = ⟨0|X|1⟩ = ⟨0|0⟩ = 1 √ standard deviation = ⟨X 2 ⟩ − ⟨X⟩2 = 1 2.60
⃗v · ⃗σ =
3 ∑
vi σi
i=1
[
] [ ] [ ] 0 1 0 −i 1 0 = v1 + v2 + v3 1 0 i 0 0 −1 [ ] v3 v1 − iv2 = v1 + iv2 −v3 det(⃗v · ⃗σ − λI) = (v3 − λ)(−v3 − λ) − (v1 − iv2 )(v1 + iv2 ) = λ2 − (v12 + v22 + v32 ) = λ2 − 1 (∵ |⃗v | = 1) Eigenvalues are λ = ±1. (i) if λ = 1 ⃗v · ⃗σ − λI = ⃗v · ⃗σ − I [ ] v3 − 1 v1 − iv2 = v1 + iv2 −v3 − 1
25 Normalized eigenvector is |λ1 ⟩ =
√
[ 1+v3 2
1 + v3 |λ1 ⟩⟨λ1 | = 2 = = = =
1
]
1−v3 v1 −iv2
.
[
]
1 1−v3 v1 −iv2
[
1
1−v3 v1 +iv2
]
] [ v1 −iv2 1 1 + v3 1+v3 1−v3 v1 +iv2 2 1+v3 1+v3 [ ] 1 1 + v3 v1 − iv2 2 v1 + iv2 1 − v3 ( [ ]) 1 v3 v1 − iv2 I+ v1 + iv2 −v3 2 1 (I + ⃗v · ⃗σ ) 2
(ii) If λ = −1. ⃗v · ⃗σ − λI = ⃗v · ⃗σ + I [ ] v3 + 1 v1 − iv2 = v1 + iv2 −v3 + 1 [ ] √ 1 1−v3 Normalized eigenvalue is |λ−1 ⟩ = . 3 2 − v1+v 1 −iv2 [ ] ] [ 1 − v3 1 3 1 − v1+v |λ−1 ⟩⟨λ−1 | = 1+v3 +iv2 1 − 2 v −iv ] [ 1 2 1 −iv2 1 − v1−v 1 − v3 3 = 1+v3 1 +iv2 − v1−v 2 1−v3 3 ] [ 1 1 − v3 −(v1 − iv2 ) = 1 + v3 2 −(v1 + iv2 ) ( [ ]) 1 v3 v1 − iv2 = I− (v1 + iv2 −v3 2 1 = (I − ⃗v · ⃗σ ). 2 While I review my proof, I notice that my proof has a defect. The case (v1 , v2 , v3 ) = (0, 0, 1), 3 second component of eigenstate, v1−v , diverges. So I implicitly assume v1 − iv2 ̸= 0. Hence 1 −iv2 my proof is incomplete. Since the exercise doesn’t require explicit form of projector, we should prove the problem more abstractly. In order to prove, we use the following properties of ⃗v · ⃗σ • ⃗v · ⃗σ is Hermitian • (⃗v · ⃗σ )2 = I where ⃗v is a real unit vector. We can easily check above conditions. (⃗v · ⃗σ )† = (v1 σ1 + v2 σ2 + v3 σ3 )† = v1 σ1† + v2 σ2† + v3 σ3† = v1 σ1 + v2 σ2 + v3 σ3 = ⃗v · ⃗σ
(∵ Pauli matrices are Hermitian.)
26
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
(⃗v · ⃗σ )2 =
3 ∑
(vj σj )(vk σk )
j,k=1
=
3 ∑
vj vk σ j σ k
j,k=1
=
3 ∑
( vj vk
δjk I + i
j,k=1
=
3 ∑
3 ∑ j=1
=I
) ϵjkl σl
(∵ eqn(2.78) page78)
l=1
vj vk δjk I + i
j,k=1
=
3 ∑
3 ∑
ϵjkl vj vk σl
j,k,l=1
vj2 I ∵
∑
vj2 = 1
j
Proof. Suppose |λ⟩ is an eigenstate of ⃗v · ⃗σ with eigenvalue λ. Then ⃗v · ⃗σ |λ⟩ = λ |λ⟩ (⃗v · ⃗σ )2 |λ⟩ = λ2 |λ⟩ On the other hand (⃗v · ⃗σ )2 = I, (⃗v · ⃗σ )2 |λ⟩ = I |λ⟩ = |λ⟩ ∴ λ2 |λ⟩ = |λ⟩ . Thus λ2 = 1 ⇒ λ = ±1. Therefore ⃗v · ⃗σ has eigenvalues ±1. Let |λ1 ⟩ and |λ−1 ⟩ are eigenvectors with eigenvalues 1 and −1, respectively. I will prove that P± = |λ±1 ⟩⟨λ±1 |. In order to prove above equation, all we have to do is prove following condition. (see Theorem 2.0.1) 0013
0010
⟨ψ|(P± − |λ±1 ⟩⟨λ±1 |)|ψ⟩ = 0 for all |ψ⟩ ∈ C2 .
(2.8)
0012
0011
Since ⃗v ·⃗σ is Hermitian, |λ1 ⟩ and |λ−1 ⟩ are orthonormal vector (∵ Exercise 2.22). Let |ψ⟩ ∈ be an arbitrary state. |ψ⟩ can be written as |ψ⟩ = α |λ1 ⟩ + β |λ±1 ⟩ (|α|2 + |β|2 = 1, α, β ∈ C).
C2
27
⟨ψ|(P± − |λ± ⟩⟨λ± |)|ψ⟩ = ⟨ψ|P± |ψ⟩ − ⟨ψ|λ± ⟩ ⟨λ± |ψ⟩ . 1 ⟨ψ|P± |ψ⟩ = ⟨ψ| (I ± ⃗v · ⃗σ )|ψ⟩ 2 1 1 = ± ⟨ψ|⃗v · ⃗σ )|ψ⟩ 2 2 1 1 = ± (|α|2 − |β|2 ) 2 2 1 1 = ± (2|α|2 − 1) (∵ |α|2 + |β|2 = 1) 2 2 ⟨ψ|λ1 ⟩ ⟨λ1 |ψ⟩ = |α|2 ⟨ψ|λ−1 ⟩ ⟨λ−1 |ψ⟩ = |β|2 = 1 − |α|2 Therefore ⟨ψ|(P± − |λ±1 ⟩⟨λ±1 |)|ψ⟩ = 0 for all |ψ⟩ ∈ C2 . Thus P± = |λ±1 ⟩⟨λ±1 |. 2.61 ⟨λ1 |0⟩ ⟨0|λ1 ⟩ = ⟨0|λ1 ⟩ ⟨λ1 |0⟩ 1 = ⟨0| (I + ⃗v · ⃗σ )|0⟩ 2 1 = (1 + v3 ) 2 Post-measurement state is [ ] |λ1 ⟩ ⟨λ1 |0⟩ 1 1 1 + v3 √ =√ · 2 v1 + iv2 1 ⟨0|λ1 ⟩ ⟨λ1 |0⟩ (1 + v ) 3 2 √ [ ] 1 1 (1 + v3 ) v1 +iv2 = 2 1+v3 √ [ ] 1 + v3 1 = 1−v3 2 v1 −iv2 = |λ1 ⟩ .
2.62 † Suppose Mm is a measurement operator. From the assumption, Em = Mm Mm = Mm . Then
⟨ψ|Em |ψ⟩ = ⟨ψ|Mm |ψ⟩ ≥ 0. for all |ψ⟩. Since Mm is positive operator, Mm is Hermitian. Therefore, † 2 Em = Mm Mm = Mm Mm = M m = Mm .
Thus the measurement is a projective measurement.
28
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
2.63 √ † Em Um Um Em √ √ = Em I Em
† Mm Mm =
√
= Em . † Since Em is POVM, for arbitrary unitary U , Mm Mm is POVM.
2.64 Read following paper: Lu-Ming Duan, Guang-Can Guo. Probabilistic cloning and identification of linearly independent quantum states. Phys. Rev. Lett.,80:4999-5002, 1998. arXiv eprint quant-ph/9804064. https://arxiv.org/abs/quant-ph/9804064 2.65
|+⟩ ≡
|0⟩ + |1⟩ √ , 2
|−⟩ ≡
|0⟩ − |1⟩ √ 2
2.66 ( X1 Z2 ( ⟨X1 Z2 ⟩ =
⟨00| + ⟨11| √ 2
|00⟩ + |11⟩ √ 2
)
( X1 Z2
) =
|00⟩ + |11⟩ √ 2
|10⟩ − |01⟩ √ 2
) =
⟨00| + ⟨11| |10⟩ − |01⟩ √ √ · =0 2 2
2.67 Unsolved W ⊂ V → V = W ⊕ W ⊥. U : W → V , U′ : V → V . U ′ |w⟩ = U |w⟩ U ′ ∈ L(V ) U ∈ L(W ) U ′ = U ⊕ I ??? 2.68 √ |ψ⟩ = |00⟩+|11⟩ . 2 Suppose |a⟩ = a0 |0⟩ + a1 |1⟩ and |b⟩ = b0 |0⟩ + b1 |1⟩.
|a⟩ |b⟩ = a0 b0 |00⟩ + a0 b1 |01⟩ + a1 b0 |10⟩ + a1 b1 |11⟩ . If |ψ⟩ = |a⟩ |b⟩, then a0 b0 = 1, a0 b1 = 0, a1 b0 = 0, a1 b1 = 1 since {|ij⟩} is an orthonormal basis.
29 If a0 b1 = 0, then a0 = 0 or b1 = 0. When a0 = 0 , this is contradiction to a0 b0 = 1. When b1 = 0 , this is contradiction to a1 b1 = 1. Thus |ψ⟩ ̸= |a⟩ |b⟩. 2.69 Define Bell states as follows. |ψ1 ⟩ ≡
|00⟩ + |11⟩ √ = 2
|ψ2 ⟩ ≡
|00⟩ − |11⟩ √ = 2
|ψ3 ⟩ ≡
|01⟩ + |10⟩ √ = 2
|ψ4 ⟩ ≡
|01⟩ − |10⟩ √ = 2
1 1 0 √ 2 0 1 1 1 0 √ 2 0 −1 0 1 1 √ 2 1 0 0 1 1 √ 2 −1 0
First, we prove {|ψi ⟩} is a linearly independent basis. a1 |ψ1 ⟩ + a2 |ψ2 ⟩ + a3 |ψ3 ⟩ + a4 |ψ4 ⟩ = 0 a1 + a2 1 a3 + a4 =0 ∴√ 2 a3 − a4 a1 − a2 a1 + a2 = 0 a +a =0 3 4 ∴ a3 − a4 = 0 a1 − a2 = 0 ∴ a1 = a2 = a3 = a4 = 0 Thus {|ψi ⟩} is a linearly independent basis. Moreover ∥|ψi ⟩∥ = 1 and ⟨ψi |ψj ⟩ = δij for i, j = 1, 2, 3, 4. Therefore {|ψi ⟩} forms an orthonormal basis. 2.70 For any Bell states we get ⟨ψi |E ⊗ I|ψi ⟩ = 12 (⟨0|E|0⟩ + ⟨1|E|1⟩). Suppose Eve measures the qubit Alice sent by measurement operators Mm . The probability † † that Eve gets result m is pi (m) = ⟨ψi |Mm Mm ⊗ I|ψi ⟩. Since Mm Mm is positive, pi (m) are same values for all |ψi ⟩. Thus Eve can’t distinguish Bell states.
30
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
2.71 From spectral decomposition, ∑ ∑ ρ= pi |ψi ⟩⟨ψi | , pi ≥ 0, pi = 1. i
2
ρ =
∑
i
pi pj |i⟩ ⟨i|j⟩ ⟨j|
i,j
=
∑
pi pj |i⟩⟨j| δij
i,j
=
∑
p2i |i⟩⟨i|
i
( 2
Tr(ρ ) = Tr
∑ i
) p2i |i⟩⟨i|
=
∑ i
∑
p2i Tr(|i⟩⟨i|) =
∑ i
p2i ⟨i|i⟩ =
∑
p2i ≤
i
∑
pi = 1
(∵ p2i ≤ pi )
i
Suppose Tr(ρ2 ) = 1. Then i p2i = 1. If 0 ≤ pi < 1, then p2i < pi . Thus only one pi = 1 and otherwise are 0. Therefore ρ = |ψi ⟩⟨ψi | is pure state. Conversely if ρ is pure, then ρ = |ψ⟩⟨ψ|. Tr(ρ2 ) = Tr(|ψ⟩ ⟨ψ|ψ⟩ ⟨ψ|) = Tr(|ψ⟩⟨ψ|) = ⟨ψ|ψ⟩ = 1. 2.72 ] a b , a, d ∈ R and (1) Since density matrix is Hermitian, matrix representation is ρ = ∗ b d b ∈ C w.r.t. standard basis. Because ρ is density matrix, Tr(ρ) = a + d = 1. Define a = (1 + r3 )/2, d = (1 − r3 )/2 and b = (r1 − ir2 )/2, (ri ∈ R). In this case, ] [ ] [ 1 1 + r3 r1 − ir2 1 a b = = (I + ⃗r · ⃗σ ). ρ= ∗ b d 2 r1 + ir2 1 − r3 2 [
Thus for arbitrary density matrix ρ can be written as ρ = 21 (I + ⃗r · ⃗σ ). Next, we derive the condition that ρ is positive. If ρ is positive, all eigenvalues of ρ should be non-negative. det(ρ − λI) = (a − λ)(b − λ) − |b|2 = λ2 − (a + d)λ + ad − |b2 | = 0 √ (a + d) ± (a + d)2 − 4(ad − |b|2 ) λ= 2 √ ( 2 ) 1−r3 r12 +r22 1± 1−4 − 4 4 = 2 √ 1 ± 1 − (1 − r12 − r22 − r32 ) = 2 √ 1 ± |⃗r|2 = 2 1 ± |⃗r| = 2
31 r| Since ρ is positive, 1−|⃗ r| ≤ 1. 2 ≥ 0 → |⃗ Therefore an arbitrary density matrix for a mixed state qubit is written as ρ = 12 (I + ⃗r · ⃗σ ).
(2) ρ = I/2 → ⃗r = 0. Thus ρ = I/2 corresponds to the origin of Bloch sphere. (3) 1 1 ρ2 = (I + ⃗r · ⃗σ ) (I + ⃗r · ⃗σ ) 2 2 ) ( 3 ∑ ∑ 1 ϵjkl σl rj rk δjk I + i = I + 2⃗r · ⃗σ + 4 l=1
j,k
) 1( = I + 2⃗r · ⃗σ + |⃗r|2 I 4 1 2 Tr(ρ ) = (2 + 2|⃗r|2 ) 4 If ρ is pure, then Tr(ρ2 ) = 1. 1 1 = Tr(ρ2 ) = (2 + 2|⃗r|2 ) 4 ∴ |⃗r| = 1. Conversely, if |⃗r| = 1, then Tr(ρ2 ) = 14 (2 + 2|⃗r|2 ) = 1. Therefore ρ is pure. 2.73 0013
0010
Theorem 2.6
ρ=
∑
pi |ψi ⟩⟨ψi | =
i
∑
|ψ˜i ⟩⟨ψ˜i | =
i
∑
|φ˜j ⟩⟨φ˜j | =
∑
j
qj |φj ⟩⟨φj | ⇔ |ψ˜i ⟩ =
j
∑
uij |φ˜j ⟩
j
where u is unitary. ∑ Transformation in theorem 2.6, |ψ˜i ⟩ = j uij |φ˜j ⟩, corresponds to [
] [ ] |ψ˜1 ⟩ · · · |ψ˜k ⟩ = |φ˜1 ⟩ · · · |φ˜k ⟩ U T
where k = rank(ρ). 0012
0011 ∑ From spectral theorem, density matrix ρ is decomposed as ρ = dk=1 λk |k⟩⟨k| where d = dim H. Without loss of generality, we ∑ can assume pk > ∑ 0 for k = 1 · · · , l where l √ = rank(ρ) and ˜ k|, ˜ where |k⟩ ˜ = λk |k⟩. pk = 0 for k = l + 1, · · · , d. Thus ρ = lk=1 pk |k⟩⟨k| = lk=1 |k⟩⟨ Suppose |ψi ⟩ is a state in support ρ. Then
|ψi ⟩ =
l ∑ k=1
Define pi = ∑
1
|cik |2 k λk
and uik
cik |k⟩ ,
√ pi cik = √ . λk
∑ k
|cik |2 = 1.
32
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS Now ∑
|uik |2 =
∑ pi |cik |2
k
k
λk
= pi
∑ |cik |2 λk
k
= 1.
Next prepare an unitary operator 1 such that ith row of U is [ui1 · · · uik · · · uil ]. Then we can define another ensemble such that [ ] [ ] |ψ˜1 ⟩ · · · |ψ˜i ⟩ · · · |ψ˜l ⟩ = |k˜1 ⟩ · · · |k˜l ⟩ U T √ where |ψ˜i ⟩ = pi |ψi ⟩. From theorem 2.6, ∑ ∑ ˜ k| ˜ = ρ= |k⟩⟨ |ψ˜k ⟩⟨ψ˜k | . k
k
Therefore we can obtain ∑ a 1minimal ensemble for ρ that contains |ψi ⟩. −1 Moreover since ρ = k λk |k⟩⟨k|, ⟨ψi |ρ−1 |ψi ⟩ =
∑ 1 ∑ |cik |2 1 ⟨ψi |k⟩⟨k|ψi ⟩ = = . λk λk pi k
Hence,
1 ⟨ψi |ρ−1 |ψi ⟩
k
= pi .
2.74 ρAB = |a⟩⟨a|A ⊗ |b⟩⟨b|B ρA = TrB ρAB = |a⟩⟨a| Tr(|b⟩⟨b|) = |a⟩⟨a| Tr(ρ2A ) = 1 Thus ρA is pure. 2.75 Define |Φ± ⟩ =
√1 (|00⟩ 2
± |11⟩) and |Ψ± ⟩ =
√1 (|01⟩ 2
± |10⟩).
1 |Φ± ⟩⟨Φ± |AB = (|00⟩⟨00| ± |00⟩⟨11| ± |11⟩⟨00| + |11⟩⟨11|) 2 1 I TrB (|Φ± ⟩⟨Φ± |AB ) = (|0⟩⟨0| + |1⟩⟨1|) = 2 2 1 |Ψ± ⟩⟨Ψ± | = (|01⟩⟨01| ± |01⟩⟨10| ± |10⟩⟨01| + |10⟩⟨10|) 2 1 I TrB (|Ψ± ⟩⟨Ψ± |) = (|0⟩⟨0| + |1⟩⟨1|) = 2 2 2.76 By Gram-Schmidt procedure construct an orthonormal basis {uj } (row vector) with ui = [ui1 · · · uik · · · uil ]. u1 .. . Then define unitary U = ui . . .. 1
ul
33 Unsolved. I think the polar decomposition can only apply to square matrix A, not arbitrary linear operators. Suppose A is m × n matrix. Then size of A† A is n × n. Thus the size of U should be m × n. Maybe U is isometry, but I think it is not unitary. I misunderstand linear operator. Quoted from ”Advanced Liner Algebra” by Steven Roman, ISBN 0387247661. A linear transformation τ : V → V is called a linear operator on V .2 Thus coordinate matrices of linear operator are square matrices. And Nielsen and Chaung say at Theorem 2.3, ”Let A be a linear operator on a vector space V .” Therefore A is a linear transformation such that A : V → V . 2.77
|ψ⟩ = |0⟩ |Φ+ ⟩ [ ] 1 = |0⟩ √ (|00⟩ + |11⟩) 2 ] [ 1 = (α |ϕ0 ⟩ + β |ϕ1 ⟩) √ (|ϕ0 ϕ0 ⟩ + |ϕ1 ϕ1 ⟩) 2
where |ϕi ⟩ are arbitrary orthonormal∑states and α, β ∈ C. We cannot vanish cross term. Therefore |ψ⟩ cannot be written as |ψ⟩ = i λi |i⟩A |i⟩B |i⟩C . 2.78
Proof. Former part. If |ψ⟩ is product, then there exist a state |ϕA ⟩ for system A, and a state |ϕB ⟩ for system B such that |ψ⟩ = |ϕA ⟩ |ϕB ⟩. Obviously, this Schmidt number is 1. Conversely, if Schmidt number is 1, the state is written as |ψ⟩ = |ϕA ⟩ |ϕB ⟩. Hence this is a product state. Proof. Later part. (⇒) Proved by exercise 2.74. ∑ ∑ (⇐) Let a pure state be |ψ⟩ = i λi |iA ⟩ |iB ⟩. Then ρA = TrB (|ψ⟩⟨ψ|) = i λ2i |i⟩⟨i|. If ρA is a pure state, then λj = 1 and otherwise 0 for some j. It follows that |ψj ⟩ = |jA ⟩ |jB ⟩. Thus |ψ⟩ is a product state.
2.79
2
According to Roman, some authors use the term linear operator for any linear transformation from V to W .
34
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
0013
0010
Procedure of∑ Schmidt decomposition. √ Goal: |ψ⟩ = i λi |iA ⟩ |iB ⟩ • Diagonalize reduced density matrix ρA = • Derive |iB ⟩, |iB ⟩ =
0012
∑
i λi |iA ⟩⟨iA |.
(I ⊗ ⟨iA |) |ψ⟩ √ λi
• Construct |ψ⟩.
0011
(i) 1 √ (|00⟩ + |11⟩) This is already decomposed. 2 (ii) |00⟩ + |01⟩ + |10⟩ + |11⟩ = 2
(
|0⟩ + |1⟩ √ 2
)
( ⊗
|0⟩ + |1⟩ √ 2
) = |ψ⟩ |ψ⟩ where |ψ⟩ =
(iii) 1 |ψ⟩AB = √ (|00⟩ + |01⟩ + |10⟩) 3 ρAB = |ψ⟩⟨ψ|AB 1 ρA = TrB (ρAB ) = (2 |0⟩⟨0| + |0⟩⟨1| + |1⟩⟨0| + |1⟩⟨1|) ( )( 3 ) 2 1 1 det(ρA − λI) = −λ −λ − =0 3 3 9 1 λ2 − λ + = 0 9√ √ 1 ± 5/3 3± 5 λ= = 2 6 [ √ ] √ 1+ 5 3+ 5 1 2 Eigenvector with eigenvalue λ0 ≡ . is |λ0 ⟩ ≡ √ √ 6 1 5+ 5 2 [ √ ] √ 1− 5 3− 5 1 2 Eigenvector with eigenvalue λ1 ≡ is |λ1 ⟩ ≡ √ √ . 6 1 5− 5 2
ρA = λ0 |λ0 ⟩⟨λ0 | + λ1 |λ1 ⟩⟨λ1 | . (I ⊗ ⟨λ0 |) |ψ⟩ √ λ0 (I ⊗ ⟨λ1 |) |ψ⟩ √ |a1 ⟩ ≡ λ1 |a0 ⟩ ≡
Then |ψ⟩ =
1 √ ∑ λi |ai ⟩ |λi ⟩ . i=0
|0⟩ + |1⟩ √ 2
35 (It’s too tiresome to calculate |ai ⟩) 2.80 ∑ ∑ Let |ψ⟩ = i λi |ψi ⟩A |ψi ⟩B and |φ⟩ = i λi |φi ⟩A |φi ⟩B . ∑ ∑ Define U = i |ψj ⟩⟨φj |A and V = j |ψj ⟩⟨φj |. Then (U ⊗ V ) |φ⟩ =
∑
λi U |φi ⟩A V |φi ⟩B
i
=
∑
λi |ψi ⟩A |ψi ⟩B
i
= |ψ⟩ .
2.81 Suppose ρA = TrR |AR2 ⟩⟨AR2 | =
∑
i λi |i⟩⟨i|.
Define |AR1 ⟩ = (IA ⊗ UR ) |AR2 ⟩.
) ( TrR (|AR1 ⟩⟨AR1 |) = TrR (IA ⊗ UR ) |AR2 ⟩⟨AR2 | (IA ⊗ UR† ) ) ( = TrR |AR2 ⟩⟨AR2 | (IA ⊗ UR† )(IA ⊗ UR ) = TrR (|AR2 ⟩⟨AR2 |) = ρA . Thus |AR1 ⟩ is also a purification of ρA . 2.82 (1) ∑ √ Let |ψ⟩ = i pi |ψi ⟩ |i⟩. TrR (|ψ⟩⟨ψ|) =
∑
pi |ψi ⟩⟨ψi |
i
Thus |ψ⟩ is a purification of ρ. (2) Probability Tr [(I ⊗ |i⟩⟨i|) |ψ⟩⟨ψ|] = ⟨ψ|(I ⊗ |i⟩⟨i|)|ψ⟩ = pi ⟨ψi |ψi ⟩ = pi . Post-measurement state (I ⊗ |i⟩⟨i| |ψ⟩) = √ pi
(3)
√
pi |ψi ⟩ = |ψi ⟩ . √ pi
36
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
∑ √ Suppose |AR⟩ is a purification of ρ such that |AR⟩ = i pi |ψi ⟩ |ri ⟩. By exercise 2.81, the others purification is written as (I ⊗ U ) |AR⟩. ∑√ (I ⊗ U ) |AR⟩ = (I ⊗ U ) pi |ψi ⟩ |ri ⟩ =
∑√
i
pi |ψi ⟩ U |ri ⟩
i
=
∑√
pi |ψi ⟩ |i⟩
i
∑ where U = i |i⟩⟨ri |. By (2), if we measure the system R w.r.t |i⟩, post-measurement state for system A is |ψi ⟩ with probability pi , which prove the assertion. Problem 2.1 From Exercise 2.35, ⃗n · ⃗σ is decomposed as ⃗n · ⃗σ = |λ1 ⟩⟨λ1 | − |λ−1 ⟩⟨λ−1 | where |λ±1 ⟩ are eigenvector of ⃗n · ⃗σ with eigenvalues ±1. Thus f (θ⃗n · ⃗σ ) = f (θ) |λ1 ⟩⟨λ1 | + f (−θ) |λ−1 ⟩⟨λ−1 | ( ) ( ) f (θ) + f (−θ) f (θ) − f (−θ) f (θ) + f (−θ) f (θ) − f (−θ) = + |λ1 ⟩⟨λ1 | + − |λ−1 ⟩⟨λ−1 | 2 2 2 2 f (θ) + f (−θ) f (θ) − f (−θ) = (|λ1 ⟩⟨λ1 | + |λ−1 ⟩⟨λ−1 |) + (|λ1 ⟩⟨λ1 | − |λ−1 ⟩⟨λ−1 |) 2 2 f (θ) − f (−θ) f (θ) + f (−θ) I+ ⃗n · ⃗σ = 2 2 Problem 2.2 Unsolved Problem 2.3 Unsolved
Chapter 8
Quantum noise and quantum operations 8.1 Density operator of initial state is written by |ψ⟩⟨ψ| and final state is written by U |ψ⟩⟨ψ| U † . Thus time development of ρ = |ψ⟩⟨ψ| can be written by E(ρ) = U ρU † . 8.2 From eqn (2.147) (on page 100), ρm =
† Mm ρMm † Tr(Mm Mm ρ)
=
† Mm ρMm † Tr(Mm ρMm )
=
Em (ρ) . Tr Em (ρ)
† † And from eqn (2.143) (on page 99), p(m) = Tr(Mm Mm ρ) = Tr(Mm ρMm ) = Tr Em (ρ).
8.3
8.4 8.5 8.6 8.7 8.8 8.9 8.10 8.11 8.12 8.13 37
38
8.14 8.15 8.16 8.17 8.18 8.19 8.20 8.21 8.22 8.23 8.24 8.25 8.26 8.27 8.28 8.29 8.30 8.31 8.32 8.33 8.34 8.35
CHAPTER 8. QUANTUM NOISE AND QUANTUM OPERATIONS
Chapter 9
Distance measures for quantum information 9.1 1 (|1 − 1/2| + |0 − 1/2|) 2( ) 1 1 1 = + 2 2 2 1 = 2
D((1, 0), (1/2, 1/2)) =
1 (|1/2 − 3/4| + |1/3 − 1/8| + |1/6 − 1/8|) 2 1 = (1/4 + 5/24 + 1/24) 2 1 = 4
D ((1/2, 1/3, 1/6), (3/4, 1/8, 1/8)) =
9.2 1 (|p − q| + |(1 − p) − (1 − q)|) 2 1 = (|p − q| + | − p + q|) 2 = |p − q|
D ((p, 1 − p), (q, 1 − q)) =
9.3 F ((1, 0), (1/2, 1/2)) =
√ √ 1 1 · 1/2 + 0 · 1/2 = √ 2
√ √ √ 1/2 · 3/4 + 1/3 · 1/8 + 1/6 · 1/8 √ √ 4 6+ 3 = 12
F ((1/2, 1/3, 1/6), (3/4, 1/8, 1/8)) =
39
40
CHAPTER 9. DISTANCE MEASURES FOR QUANTUM INFORMATION
9.4 Define rx = px − qx . Let U be the whole index set. ∑ ∑ max |p(S) − q(S)| = max px − qx S S x∈S x∈S ∑ = max (px − qx ) S x∈S ∑ = max rx S Since
∑
x∈S
x∈S rx
is written as ∑
rx =
x∈S
∑
∑
∑
rx +
x∈S rx ≥0
rx ,
(9.1)
x∈S rx <0
is maximized when S = {x ∈ U |rx ≥ 0} or S = {x ∈ U |rx < 0}. r x x∈S Define S+ = {x ∈ U |rx ≥ 0} and S− = {x ∈ U |rx < 0}. Now the sum of all rx is 0, ∑ ∑ ∑ rx = rx + rx = 0 x∈U
∴
∑
x∈S+
rx = −
x∈S+
Thus
x∈S−
∑
rx .
x∈S−
∑ ∑ ∑ max rx = rx = − rx . S x∈S
x∈S+
x∈S−
On the other hand, 1∑ |px − qx | 2 x∈U 1∑ |rx | = 2 x∈U 1 ∑ 1 ∑ = |rx | + |rx | 2 2
D(px , qx ) =
x∈S+
x∈S−
1 ∑ 1 ∑ rx − rx = 2 2 x∈S+
x∈S−
1 ∑ 1 ∑ = rx + rx 2 2 x∈S+ x∈S+ ∑ = rx x∈S+
∑ = max rx . S x∈S
(∵ eqn(9.2))
(9.2)
41 ∑ ∑ Therefore D(px , qx ) = maxS x∈S px − x∈S qx = maxS |p(S) − q(S)|. 9.5 ∑ ∑ From eqn (9.1) and (9.2), maximizing x∈S rx is equivalent to maximizing x∈S rx . Hence ( ) ∑ ∑ D(px , qx ) = max(p(S) − q(S)) = max px − qx . S
S
x∈S
x∈S
9.6 Define ρ =
3 4
|0⟩⟨0| + 14 |1⟩⟨1|, σ =
2 3
|1⟩⟨1| + 31 |1⟩⟨1|.
1 Tr |ρ − σ| 2 = D((3/4, 1/4), (2/3, 1/3)) ) ( 1 3 2 1 1 = − + − 2 4 3 4 3 ( ) 1 1 1 = + 2 12 12 1 = 12
D(ρ, σ) =
Define ρ =
3 4
|0⟩⟨0| + 14 |1⟩⟨1|, σ =
2 3
|+⟩⟨+| + 13 |−⟩⟨−|.
1 |+⟩⟨+| = (|0⟩⟨0| + |0⟩⟨1| + |1⟩⟨0| + |1⟩⟨1|) 2 1 |−⟩⟨−| = (|0⟩⟨0| − |0⟩⟨1| − |1⟩⟨0| + |1⟩⟨1|) 2 (
3 1 − 4 2
)
1 ρ−σ = |0⟩⟨0| − (|0⟩⟨1| + |1⟩⟨0|) + 6 1 1 1 = |0⟩⟨0| − (|0⟩⟨1| + |1⟩⟨0|) − |1⟩⟨1| 4 6 4
(
1 1 − 4 2
) |1⟩⟨1|
1 1 1 1 1 1 1 1 |0⟩⟨0| − |0⟩⟨1| + 2 |0⟩⟨0| + |0⟩⟨1| − |1⟩⟨0| + 2 |1⟩⟨1| + |1⟩⟨0| + 2 |1⟩⟨1| 2 4 6 6·4 4·6 6 4·6 4 ( )4 · 6 1 1 = + (|0⟩⟨0| + |1⟩⟨1|) 42 62
(ρ − σ)† (ρ − σ) =
1 Tr |ρ − σ| 2 √ 1 1 = + 2 2 4 6
D(ρ, σ) =
9.7
42
CHAPTER 9. DISTANCE MEASURES FOR QUANTUM INFORMATION Since ρ − σ is Hermitian, we can apply spectral decomposition. Then ρ − σ is written as ρ−σ =
k ∑
n ∑
λi |i⟩⟨i| +
i=1
λi |i⟩⟨i|
i=k+1
where λi are positive ∑ eigenvalues for i = 1, ∑· · · , k and negative eigenvalues for i = k + 1, · · · , n. Define Q = ki=1 λi |i⟩⟨i| and S = − ni=k+1 λi |i⟩⟨i|. Then P and S are positive operator. Therefore ρ − σ = P − S. 0013
0010
Proof of |ρ − σ| = Q + S. |ρ − σ| = |Q − S| √ = (Q − S)† (Q − S) √ = (Q − S)2 √ = Q2 − QS − SQ + S 2 √ = Q2 + S 2 √∑ = λ2i |i⟩⟨i| =
∑
i
|λi | |i⟩⟨i|
i
=Q+S 0012
0011
9.8 ∑ Suppose σ = σi . Then σ = i pi σi . ( ) ( ) ∑ ∑ ∑ D pi ρi , σ = D pi ρi , pi σi i
≤
∑
i
(9.3)
i
pi D(ρi , σi )
(∵ eqn(9.50))
(9.4)
i
=
∑
pi D(ρi , σ). (∵ assumption).
(9.5)
i
9.9 9.10 9.11 9.12 Suppose ρ = 21 (I + ⃗r · ⃗σ ) and σ = 12 (I + ⃗s · ⃗σ ) where ⃗v and ⃗s are real vectors s.t. |⃗v |, |⃗s| ≤ 1. I E(ρ) = p + (1 − p)ρ, 2
I E(σ) = p + (1 − p)σ. 2
43
1 Tr |E(ρ) − E(σ)| 2 1 = Tr |(1 − p)(ρ − σ)| 2 1 = (1 − p) Tr |ρ − σ| 2 = (1 − p)D(ρ, σ) |⃗r − ⃗s| = (1 − p) 2
D(E(ρ), E(σ)) =
Is this strictly contractive? 9.13 Bit flip channel E0 =
√
pI, E1 =
√
1 − pσx .
E(ρ) = E0 ρE0† + E1 ρE1† = pρ + (1 − p)σx ρσx . Since σx σx σx = σx , σx σy σx = −σy and σx σz σx = −σz , then σx (⃗r · ⃗σ ) = r1 σx − r2 σy − r3 σ3 . Thus 1 Tr |E(ρ) − E(σ)| 2 1 = Tr |p(ρ − σ) + (1 − p)(σx ρσx − σx σσx )| 2 1 1 ≤ p Tr |ρ − σ| + (1 − p) Tr |σx (ρ − σ)σx | 2 2 = pD(ρ, σ) + (1 − p)D(σx ρσx , σx σσx )
D(E(ρ), E(σ)) =
= D(ρ, σ)
(∵ eqn(9.21)).
Suppose ρ0 = 12 (I + ⃗r · ⃗σ ) is a fixed point. Then ρ0 = E(ρ0 ) = pρ0 + (1 − p)σx ρ0 σx ∴ (1 − p)ρ0 − (1 − p)σx ρ0 σx = 0 ∴ (1 − p)(ρ − σx ρ0 σx ) = 0 ∴ ρ0 = σx ρ0 σx 1 1 ∴ (I + r1 σx + r2 σy + r3 σz ) (I + r1 σx − r2 σy − r3 σz ) 2 2 Since {I, σx , σy , σz } are linearly independent, r2 = −r2 and r3 = −r3 . Thus r2 = r3 = 0. Therefore the set of fixed points for the bit flip channel is {ρ | ρ = 21 (I + rσx ), |r| ≤ 1, r ∈ R} 9.14
44
CHAPTER 9. DISTANCE MEASURES FOR QUANTUM INFORMATION
√ F (U ρU , U σU ) = Tr (U ρU † )1/2 σ(U ρU † ) √ = Tr U ρ1/2 σρ1/2 U † √ = Tr(U ρ1/2 σρ1/2 U † ) √ = Tr( ρ1/2 σρ1/2 U † U ) √ = Tr ρ1/2 σρ1/2 †
†
= F (ρ, σ) 0013
√
0010
√
I think the fact U AU † = U AU † is not restricted for positive operator. Suppose A is a normal matrix. From spectral theorem, it is decomposed as ∑ A= ai |i⟩⟨i| . i
Let f be a function. Then ∑ f (U AU † ) = f ( ai U |i⟩⟨i| U † ) =
∑ i
= U(
i
f (ai )U |i⟩⟨i| U †
∑
f (ai )U |i⟩⟨i| U † )U †
i
= U f (A)U † 0012
0011
9.15 √ √ |ψ⟩ = (UR ⊗ ρUQ ) |m⟩ is any fixed purification of ρ, and |ϕ⟩ = (VR ⊗ σVQ ) |m⟩ is purification √ √ √ √ √ √ of σ. Suppose ρ σ = | ρ σ|V is the polar decomposition of ρ σ. Then ( ) †√ √ | ⟨ψ|ϕ⟩ | = ⟨m| UR† VR ⊗ UQ ρ σVQ |m⟩ ( ) †√ √ = Tr (UR† VR )T UQ ρ σVQ ( ) †√ √ = Tr VRT UR∗ UQ ρ σVQ ( ) †√ √ ρ σ = Tr VQ VRT UR∗ UQ ( ) † √ √ = Tr VQ VRT UR∗ UQ | ρ σ|V ( ) † √ √ = Tr V VQ VRT UR∗ UQ | ρ σ| √ √ ≤ Tr | ρ σ| = F (ρ, σ) ∗ U † )† we see that equality is attained. Choosing VQ = V † , VRT = (UQ R
9.16
45 I think eq (9.73) has a typo. Tr(A† B) = ⟨m|A ⊗ B|m⟩ should be Tr(AT B) = ⟨m|A ⊗ B|m⟩. See errata list. In order to show that this exercise, I will prove following two properties, Tr(A) = ⟨m|(I ⊗ A)|m⟩ , (I ⊗ A) |m⟩ = (AT ⊗ I) |m⟩ where A is a linear operator and |m⟩ is unnormalized maximally entangled state, |m⟩ = ⟨m|I ⊗ A|m⟩ =
∑
⟨ii|(I ⊗ A)|jj⟩
ij
=
∑
⟨i|I|j⟩ ⟨i|A|j⟩
ij
=
∑
δij ⟨i|A|j⟩
ij
=
∑
⟨i|A|i⟩
i
Suppose A =
= Tr(A)
∑ ij
aij |i⟩⟨j|.
(I ⊗ A) |m⟩ = I ⊗ =
∑
∑
aij |i⟩⟨j|
∑
ij
|kk⟩
k
aij |k⟩ ⊗ |i⟩ ⟨j|k⟩
ijk
=
∑
aij |k⟩ ⊗ |i⟩ δjk
ijk
=
∑
aij |j⟩ ⊗ |i⟩
ij
=
∑
aji |i⟩ ⊗ |j⟩
ij
∑ ∑ (AT ⊗ I) |m⟩ = aji |i⟩⟨j| ⊗ I |kk⟩ ij
=
∑
k
aji |i⟩ ⟨j|k⟩ ⊗ |k⟩
ij
=
∑
aji |i⟩ δjk ⊗ |k⟩
ij
=
∑
aji |ij⟩
ij
= (I ⊗ A) |m⟩ Thus Tr(AT B) = Tr(BAT ) = ⟨m|I ⊗ BAT |m⟩ = ⟨m|(I ⊗ B)(I ⊗ AT )|m⟩ = ⟨m|(I ⊗ B)(A ⊗ I)|m⟩ = ⟨m|A ⊗ B|m⟩ .
∑
i |ii⟩.
46
CHAPTER 9. DISTANCE MEASURES FOR QUANTUM INFORMATION
9.17 If ρ = σ, then F (ρ, σ) = 1. Thus A(ρ, σ) = arccos F (ρ, σ) = arccos 1 = 0. If A(ρ, σ) = 0, then arccos F (ρ, σ) = 0 ⇒ cos(arccos F (ρ, σ)) = cos(0) ⇒ F (ρ, σ) = 1 (∵ text p.411, the fifth line from bottom). 9.18 For 0 ≤ x ≤ y ≤ 1, arccos(x) ≥ arccos(y). From F (E(ρ), E(σ)) ≥ F (ρ, σ) and 0 ≤ F (E(ρ), E(σ)), F (ρ, σ) ≤ 1, arccos F (E(ρ), E(σ)) ≥ arccos F (ρ, σ) ∴ A(E(ρ), E(σ)) ≥ A(ρ, σ) 9.19 From eq (9.92) F
( ∑
pi ρi ,
i
∑
) ≥
pi σi
i
∑√ pi pi F (ρi , σi ) i
=
∑
pi F (ρi , σi ).
i
9.20 Suppose σi = σ. Then F
( ∑
) pi ρi , σ
=F
i
( ∑
pi ρi ,
∑
i
=F ≥
( ∑
∑
) pi σ
i
pi ρi ,
∑
i
) pi σi
i
pi F (ρi , σi ) (∵ Exercise9.19)
i
=
∑
pi F (ρi , σ)
i
9.21 1 − F (|ψ⟩ , σ)2 = 1 − ⟨ψ|σ|ψ⟩ (∵ eq(9.60))
D(|ψ⟩ , σ) = max Tr(P (ρ − σ)) (where P is projector.) P
≥ Tr (|ψ⟩⟨ψ| (ρ − σ)) = ⟨ψ|(|ψ⟩⟨ψ| − σ)|ψ⟩ = 1 − ⟨ψ|σ|ψ⟩ = 1 − F (|ψ⟩ , σ)2 . 9.22
47 (ref: QCQI Exercise Solutions (Chapter 9) - めもめも http://enakai00.hatenablog.com/entry/2018/04/12/134722) For all ρ, following inequality is satisfied, d(V U ρU † V † , F ◦ E(ρ)) ≤ d(V U ρU † V † , F(U ρU † )) + d(F(U ρU † ), F ◦ E(ρ)) ≤ d(V U ρU † V † ) + d(U ρU † , E(ρ)) ≤ E(V, F) + E(U, E). First inequality is triangular inequality, second is contractivity of the metric1 and third is from definition of E. Above inequality is hold for all ρ. Thus E(V U, F ◦ E) ≤ E(V, F) + E(U, E). 9.23 (⇐) If E(ρj ) = ρj for all j such that pj > 0, then ∑ ∑ ∑ ∑ F¯ = pj F (ρj , E(ρj ))2 = pj F (ρj , ρj )2 = pj 12 = pj = 1. j
j
j
j
(⇒) Suppose E(ρj ) ̸= ρj . Then F (ρj , E(ρj )) < 1 (∵ text p.411, the fifth line from bottom ). Thus ∑ ∑ F¯ = pj F (ρj , E(ρj ))2 < pj = 1. j
j
Therefore if F¯ = 1, then E(ρj ) = ρj . Problem 1 Problem 2
Problem 3 Theorem 5.3 of ”Theory of Quantum Error Correction for General Noise”, Emanuel Knill, Raymond Laflamme, and Lorenza Viola, Phys. Rev. Lett. 84, 2525 ‒ Published 13 March 2000. arXiv:quant-ph/9604034 https://arxiv.org/abs/quant-ph/9604034
1
Trace distance and angle are satisfied with contractive (eq (9.35), eq (9.91)), but I don’t assure that arbitrary metric satisfied with contractive.
Copylight Notice: c bna This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Contents 0.1
Eratta list . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
2 Introduction to quantum mechanics
2 3
8 Quantum noise and quantum operations
37
9 Distance measures for quantum information
39
1
2
CONTENTS
0.1
Eratta list
∑ ∑ • p.101. eq (2.150) ρ = m p(m)ρm should be ρ′ = m p(m)ρm . ∑ ∑ • p.408. eq (9.49) i pi D(ρi , σi ) + D(pi , qi ) should be i pi D(ρi , σi ) + 2D(pi , qi ).
eqn (9.48) =
∑
pi Tr(P (ρi − σi )) +
i
≤
∑
∑
pi Tr(P (ρi − σi )) +
∑
i
=
∑
=
(pi − qi ) (∵ Tr(P σi ) ≤ 1)
i
∑
pi Tr(P (ρi − σi )) + 2
i
∑
(pi − qi ) Tr(P σi )
i
i (pi
− qi )
2
pi Tr(P (ρi − σi )) + 2D(pi , qi )
i
• p.409. Exercise 9.12. If ρ = σ, then D(ρ, σ) = 0. Furthermore trace distance is nonnegative. Therefore 0 ≤ D(E(ρ), E(σ)) ≤ 0 ⇒ D(E(ρ), E(σ)) = 0. So I think the map E is not strictly contractive. If p ̸= 1 and ρ ̸= σ, then D(E(ρ), E(σ)) < D(ρ, σ) is satisfied. • p.411. Exercise 9.16. eqn(9.73) Tr(A† B) = ⟨m|A ⊗ B|m⟩ should be Tr(AT B) = ⟨m|A ⊗ B|m⟩. ] ] [ [ 1 0 i 0 , In this case, . B= Simple counter example is the case that A = 0 0 0 0 ] ] [ ][ [ −i 0 −i 0 1 0 , = AB= 0 0 0 0 0 0 †
Tr(A† B) = −i, i 0 A⊗B = 0 0
0 0 0 0
0 0 0 0
0 0 0 0
⟨m|A ⊗ B|m⟩ = (⟨00| + ⟨11⟩)(A ⊗ B)(|00⟩ + |11⟩) = i. Thus Tr(A† B) ̸= ⟨m|A ⊗ B|m⟩. By using following relation, we can prove. (I ⊗ A) |m⟩ = (AT ⊗ I) |m⟩ Tr(A) = ⟨m|I ⊗ A|m⟩ Tr(AT B) = Tr(BAT ) = ⟨m|I ⊗ BAT |m⟩ = ⟨m|(I ⊗ B)(I ⊗ AT )|m⟩ = ⟨m|(I ⊗ B)(A ⊗ I)|m⟩ = ⟨m|A ⊗ B|m⟩ .
Chapter 2
Introduction to quantum mechanics 2.1
[
] [ ] [ ] [ ] 1 1 2 0 + − = −1 2 1 0
2.2
A |0⟩ = A11 |0⟩ + A21 |1⟩ = |1⟩ ⇒ A11 = 0, A21 = 1 A |1⟩ = A12 |0⟩ + A22 |1⟩ = |0⟩ ⇒ A12 = 1, A22 = 0 ] [ 0 1 ∴A= 1 0
input: {|0⟩ , |1⟩}, output: {|1⟩ , |0⟩} A |0⟩ = A11 |1⟩ + A21 |0⟩ = |1⟩ ⇒ A11 = 1, A21 = 0 A |1⟩ = A12 |1⟩ + A22 |0⟩ = |0⟩ ⇒ A12 = 0, A22 = 1 [ ] 1 0 A= 0 1 2.3 From eq (2.12) A |vi ⟩ =
∑
Aji |wj ⟩
j
B |wj ⟩ =
∑ k
3
Bkj |xk ⟩
4
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
Thus ∑ BA |vi ⟩ = B Aji |wj ⟩ =
∑
j
Aji B |wj ⟩
j
=
∑ j,k
=
∑
Aji Bkj |xk ⟩
∑
Bkj Aji |xk ⟩
k
j
k
∑
∑ = (BA)ki |xk ⟩ ∴(BA)ki =
Bkj Aji
j
2.4
I |vj ⟩ =
∑
Iij |vi ⟩ = |vj ⟩ , ∀j.
i
⇒ Iij = δij
2.5 Defined inner product on C n is ((y1 , · · · , yn ), (z1 , · · · , zn )) =
∑
yi∗ zi .
i
Verify (1) of eq (2.13). ( (y1 , · · · , yn ),
∑
) λi (zi1 , · · · , zin )
=
i
∑
yi∗
i
=
∑
=
j
=
∑
λj zji
j
yi∗ λj zji
i,j
∑
∑
λj
( ∑
) yi∗ zji
i
λj ((y1 , · · · , yn ), (zj1 , · · · , zjn ))
j
=
∑ i
λi ((y1 , · · · , yn ), (zi1 , · · · , zin )) .
5 Verify (2) of eq (2.13), ( ((y1 , · · · , yn ), (z1 , · · · , zn ))∗ = ( = ( =
∑
)∗ yi∗ zi
i
∑
) yi zi∗
i
∑
(2.1)
(2.2) )
zi∗ yi
(2.3)
i
= ((z1 , · · · , zn ), (y1 , · · · , yn ))
(2.4)
. Verify (3) of eq (2.13), ((y1 , · · · , yn ), (y1 , · · · , yn )) =
∑
yi∗ yi
i
=
∑
|yi |2
i
∑ Since |yi |2 ≥ 0 for all i. Thus i |yi |2 = ((y1 , · · · , yn ), (y1 , · · · , yn )) ≥ 0. From now on, I will show the following statement, ((y1 , · · · , yn ), (y1 , · · · , yn )) = 0 iff (y1 , · · · , yn ) = 0. (⇐) This is obvious. ∑ (⇒) Suppose ((y1 , · · · , yn ), (y1 , · · · , yn )) = 0. Then i |yi |2 = 0. ∑ Since |yi |2 ≥ 0 for all i, if i |yi |2 = 0, then |yi |2 = 0 for all i. Therefore |yi |2 = 0 ⇔ yi = 0 for all i. Thus, (y1 , · · · , yn ) = 0.
2.6 ( ∑
) λi |wi ⟩ , |v⟩
( |v⟩ ,
=
i
[ =
∑
)∗ λi |wi ⟩
i
∑
λi (|v⟩ , |wi ⟩)
i
=
∑
λ∗i (|v⟩ , |wi ⟩)∗
i
=
∑ i
2.7
]∗
λ∗i (|wi ⟩ , |v⟩)
(∵ linearlity in the 2nd arg.)
6
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
] 1 =1−1=0 −1 [ ] |w⟩ |w⟩ 1 1 √ √ = = ∥|w⟩∥ 2 1 ⟨w|w⟩ [ ] |v⟩ |v⟩ 1 1 =√ =√ −1 ∥|v⟩∥ 2 ⟨v|v⟩ [ ] ⟨w|v⟩ = 1 1
[
2.8 If k = 1, |w2 ⟩ − ⟨v1 |w2 ⟩ |v1 ⟩ ∥|w2 ⟩ − ⟨v1 |w2 ⟩ |v1 ⟩∥ ( ) |w2 ⟩ − ⟨v1 |w2 ⟩ |v1 ⟩ ⟨v1 |v2 ⟩ = ⟨v1 | ∥|w2 ⟩ − ⟨v1 |w2 ⟩ |v1 ⟩∥ ⟨v1 |w2 ⟩ − ⟨v1 |w2 ⟩ ⟨v1 |v1 ⟩ = ∥|w2 ⟩ − ⟨v1 |w2 ⟩ |v1 ⟩∥ = 0. |v2 ⟩ =
Suppose {v1 , · · · vn } (n ≤ d − 1) is a orthonormal basis. Then ∑ ) |wn+1 ⟩ − ni=1 ⟨vi |wn+1 ⟩ |vi ⟩ ∑ (j ≤ n) ⟨vj |vn+1 ⟩ = ⟨vj | ∥|wn+1 ⟩ − ni=1 ⟨vi |wn+1 ⟩ |vi ⟩∥ ∑n ⟨vj |wn+1 ⟩ − i=1 ⟨vi |wn+1 ⟩ ⟨vj |vi ⟩ ∑ = ∥|wn+1 ⟩ − ni=1 ⟨vi |wn+1 ⟩ |vi ⟩∥ ∑ ⟨vj |wn+1 ⟩ − ni=1 ⟨vi |wn+1 ⟩ δij ∑ = ∥|wn+1 ⟩ − ni=1 ⟨vi |wn+1 ⟩ |vi ⟩∥ ⟨vj |wn+1 ⟩ − ⟨vj |wn+1 ⟩ ∑ = ∥|wn+1 ⟩ − ni=1 ⟨vi |wn+1 ⟩ |vi ⟩∥ (
= 0. Thus Gram-Schmidt procedure produces an orthonormal basis. 2.9
σ0 = I = |0⟩ ⟨0| + |1⟩ ⟨1| σ1 = X = |0⟩ ⟨1| + |1⟩ ⟨0| σ2 = Y = −i |0⟩ ⟨1| + i |1⟩ ⟨0| σ3 = Z = |0⟩ ⟨0| − |1⟩ ⟨1|
2.10
7
|vj ⟩ ⟨vk | = IV |vj ⟩ ⟨vk | IV ) ( ) ( ∑ ∑ |vq ⟩ ⟨vq | = |vp ⟩ ⟨vp | |vj ⟩ ⟨vk | p
=
∑
q
|vp ⟩ ⟨vp |vj ⟩ ⟨vk |vq ⟩ ⟨vq |
p,q
=
∑
δpj δkq |vp ⟩ ⟨vq |
p,q
Thus (|vj ⟩ ⟨vk |)pq = δpj δkq 2.11 [
] ([ ]) 0 1 −λ 1 X= , det(X − λI) = det = 0 ⇒ λ = ±1 1 0 1 −λ If λ = −1,
[
Thus
1 1 1 1
][ ] [ ] c1 0 = c2 0
[ ] [ ] 1 −1 c1 |λ = −1⟩ = =√ c2 2 1
If λ = 1
[ ] 1 1 |λ = 1⟩ = √ 2 1 [
−1 0 X= 0 1
] w.r.t. {|λ = −1⟩ , |λ = 1⟩}
2.12 ([ ] ) 1 0 − λI = (1 − λ)2 = 0 ⇒ λ = 1 det 1 1 Therefore the eigenvector associated with eigenvalue λ = 1 is [ ] 0 |λ = 1⟩ = 1 [ ] 0 0 Because |λ = 1⟩ ⟨λ = 1| = , 0 1 [ ] [ ] 1 0 0 0 ̸= c |λ = 1⟩ ⟨λ = 1| = 1 1 0 c
8
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
2.13 Suppose |ψ⟩ , |ϕ⟩ are arbitrary vectors in V . ( )∗ (|ψ⟩ , (|w⟩ ⟨v|) |ϕ⟩)∗ = (|w⟩ ⟨v|)† |ψ⟩ , |ϕ⟩ ( ) = |ϕ⟩ , (|w⟩ ⟨v|)† |ψ⟩ = ⟨ϕ| (|w⟩ ⟨v|)† |ψ⟩ . On the other hand, (|ψ⟩ , (|w⟩ ⟨v|) |ϕ⟩)∗ = (⟨ψ|w⟩ ⟨v|ϕ⟩)∗ = ⟨ϕ|v⟩ ⟨w|ψ⟩ . Thus ⟨ϕ| (|w⟩ ⟨v|)† |ψ⟩ = ⟨ϕ|v⟩ ⟨w|ψ⟩ for arbitrary vectors |ψ⟩ , |ϕ⟩ ∴ (|w⟩ ⟨v|)† = |v⟩ ⟨w|
2.14
((ai Ai )† |ϕ⟩ , |ψ⟩) = (|ϕ⟩ , ai Ai |ψ⟩) = ai (|ϕ⟩ , Ai |ψ⟩) = ai (A†i |ϕ⟩ , |ψ⟩) = (a∗i A†i |ϕ⟩ , |ψ⟩) ∴ (ai Ai )† = a∗i A†i
2.15
((A† )† |ψ⟩ , |ϕ⟩) = (|ψ⟩ , A† |ϕ⟩) = (A† |ϕ⟩ , |ψ⟩)∗ = (|ϕ⟩ , A |ψ⟩)∗ = (A |ψ⟩ , |ϕ⟩) ∴ (A† )† = A
2.16
9
P =
∑
|i⟩ ⟨i| .
i
P2 =
( ∑
) |i⟩ ⟨i|
i
=
∑
∑
|j⟩ ⟨j|
j
|i⟩ ⟨i|j⟩ ⟨j|
i,j
=
∑
|i⟩ ⟨j| δij
i,j
=
∑
|i⟩ ⟨i|
i
=P
2.17 Proof. (⇒) Suppose A is Hermitian. Then A = A† . Let |λ⟩ be eigenvectors of A with eigenvalues λ, that is, A |⟩ = λ |λ⟩ . Therefore ⟨λ|A|λ⟩ = λ ⟨λ|λ⟩ = λ. On the other hand, λ∗ = ⟨λ|A|λ⟩∗ = ⟨λ|A† |λ⟩ = ⟨λ|A|λ⟩ = λ ⟨λ|λ⟩ = λ. Hence eigenvalues of Hermitian matrix are real. (⇐) Suppose eigenvalues of A are real. From spectral theorem, normal matrix A can be written by ∑ A= (2.5) λi |λi ⟩⟨λi | i
where λi are real eigenvalues with eigenvectors |λi ⟩. By taking adjoint, we get ∑ A† = λ∗i |λi ⟩⟨λi | i
=
∑ i
=A Thus A is Hermitian. 2.18
λi |λi ⟩⟨λi |
(∵ λi are real)
10
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS Suppose |v⟩ is a eigenvector with corresponding eigenvalue λ. U |v⟩ = λ |v⟩ . 1 = ⟨v|v⟩ = ⟨v| I |v⟩ = ⟨v| U † U |v⟩ = λλ∗ ⟨v|v⟩ = ∥λ∥2 ∴ λ = eiθ
2.19 [ ][ ] [ ] 0 1 0 1 1 0 X = = =I 1 0 1 0 0 1 2
2.20 U≡
∑
|wi ⟩ ⟨vi |
i ′
Aij = ⟨vi |A|vj ⟩ = ⟨vi |U U † AU U † |vj ⟩ ∑ = ⟨vi |wp ⟩ ⟨vp |vq ⟩ ⟨wq |A|wr ⟩ ⟨vr |vs ⟩ ⟨ws |vj ⟩ p,q,r,s
=
∑
′′
⟨vi |wp ⟩ δpq Aqr δrs ⟨ws |vj ⟩
p,q,r,s
=
∑
′′
⟨vi |wp ⟩ ⟨wr |vj ⟩ Apr
p,r
2.21 Suppose M be Hermitian. Then M = M † . M = IM I = (P + Q)M (P + Q) = P M P + QM P + P M Q + QM Q
Now P M P = λP , QM P = 0, P M Q = P M † Q = (QM P )∗ = 0. Thus M = P M P + QM Q. Next prove QM Q is normal. QM Q(QM Q)† = QM QQM † Q = QM † QQM Q (M = M † ) = (QM † Q)QM Q Therefore QM Q is normal. By induction, QM Q is diagonal ... (following is same as Box 2.2)
11
2.22 Suppose A is a Hermitian operator and |vi ⟩ are eigenvectors of A with eigenvalues λi . Then ⟨vi |A|vj ⟩ = λj ⟨vi |vj ⟩ . On the other hand, ⟨vi |A|vj ⟩ = ⟨vi |A† |vj ⟩ = ⟨vj |A|vi ⟩∗ = λ∗i ⟨vj |vi ⟩∗ = λ∗i ⟨vi |vj ⟩ = λi ⟨vi |vj ⟩ Thus (λi − λj ) ⟨vi |vj ⟩ = 0. If λi ̸= λj , then ⟨vi |vj ⟩ = 0. 2.23 Suppose P is projector and |λ⟩ are eigenvectors of P with eigenvalues λ. Then P 2 = P . P |λ⟩ = λ |λ⟩ and P |λ⟩ = P 2 |λ⟩ = λP |λ⟩ = λ2 |λ⟩ . Therefore λ = λ2 λ(λ − 1) = 0 λ = 0 or 1.
2.24 Def of positive ⟨v|A|v⟩ ≥ 0 for all |v⟩. Suppose A is a positive operator. A can be decomposed as follows. A=
A + A† A − A† +i 2 2i
= B + iC
where B =
A + A† A − A† , C= . 2 2i
Now operators B and C are Hermitian.
⟨v|A|v⟩ = ⟨v|B + iC|v⟩ = ⟨v|B|v⟩ + i ⟨v|C|v⟩ = α + iβ where α = ⟨v|B|v⟩ , β = ⟨v|C|v⟩ . Since B and C are Hermitian, α, β ∈ R. From def of positive operator, β should be vanished because ⟨v|A|v⟩ is real. Hence β = ⟨v|C|v⟩ = 0 for all |v⟩, i.e. C = 0. Therefore A = A† .
12
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
0013
0010
Reference: MIT 8.05 Lecture note by Prof. Barton Zwiebach. https://ocw.mit.edu/courses/physics/8-05-quantum-physics-ii-fall-2013/ lecture-notes/MIT8_05F13_Chap_03.pdf Proposition. 2.0.1. Let T be a linear operator in a complex vector space V . If (u, T v) = 0 for all u, v ∈ V , then T = 0. Proof. Suppose u = T v. Then (T v, T v) = 0 for all v implies that T v = 0 for all v. Therefore T = 0. Theorem. 2.0.1. If (v, Av) = 0 for all v ∈ V , then A = 0. Proof. First, we show that (u, T v) = 0 if (v, Av) = 0. Then apply proposition 2.0.1 Suppose u, v ∈ V . Then (u, T v) is decomposed as [ 1 1 (u, T v) = (u + v, T (u + v)) − (u − v, T (u − v)) + (u + iv, T (u + iv)) 4 i ] 1 − (u − iv, T (u − iv)) . i If (v, T v) = 0 for all v ∈ V , the right hand side of above eqn vanishes. Thus (u, T v) = 0 for all u, v ∈ V . Then T = 0.
0012
2.25
⟨ψ|A† A|ψ⟩ = ∥A |ψ⟩∥2 ≥ 0 for all |ψ⟩ .
Thus A† A is positive.
2.26
1 1 |ψ⟩⊗2 = √ (|0⟩ + |1⟩) ⊗ √ (|0⟩ + |1⟩ 2 2 1 = (|00⟩ + |01⟩ + |10⟩ + |11⟩) 2 1 1 1 = 2 1 1
0011
13
1 1 1 |ψ⟩⊗3 = √ (|0⟩ + |1⟩) ⊗ √ (|0⟩ + |1⟩ ⊗ √ (|0⟩ + |1⟩ 2 2 2 1 = √ (|000⟩ + |001⟩ + |010⟩ + |011⟩ + |100⟩ + |101⟩ + |110⟩ + |111⟩) 2 2 1 1 1 1 1 √ = 2 2 1 1 1 1 2.27 [
] [ ] 0 1 1 0 ⊗ 1 0 0 −1 0 0 1 0 0 0 0 −1 = 1 0 0 0 0 −1 0 0
X ⊗Z =
[ 1 I ⊗X = 0 0 1 = 0 0
] ] [ 0 1 0 ⊗ 1 0 1 1 0 0 0 0 0 0 0 1 0 1 0
[ 0 X ⊗I = 1 0 0 = 1 0
] ] [ 1 0 1 ⊗ 0 1 0 0 1 0 0 0 1 0 0 0 1 0 0
In general, tensor product is not commutable. 2.28
∗ A11 B · · · A1n B .. .. (A ⊗ B)∗ = ... . . Am1 B · · · Amn B ∗ ∗ A11 B · · · A∗1n B ∗ .. .. = ... . . A∗m1 B ∗ · · · A∗mn B ∗ = A∗ ⊗ B ∗ .
14
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
T A11 B · · · A1n B .. .. (A ⊗ B)T = ... . . Am1 B · · · Amn B A11 B T · · · Am1 B T .. .. = ... . . T T A1n B · · · Amn B T A11 B · · · A1m B T .. .. = ... . . · · · Anm B T
An1 B T = AT ⊗ B T .
(A ⊗ B)† = ((A ⊗ B)∗ )T = (A∗ ⊗ B ∗ )T = (A∗ )T ⊗ (B ∗ )T = A† ⊗ B † . 2.29 Suppose U1 and U2 are unitary operators. Then (U1 ⊗ U2 )(U1 ⊗ U2 )† = U1 U1† ⊗ U2 U2† = I ⊗ I. Similarly, (U1 ⊗ U2 )† (U1 ⊗ U2 ) = I ⊗ I. 2.30 Suppose A and B are Hermitian operators. Then (A ⊗ B)† = A† ⊗ B † = A ⊗ B.
(2.6)
Thus A ⊗ B is Hermitian. 2.31 Suppose A and B are positive operators. Then ⟨ψ| ⊗ ⟨ϕ| (A ⊗ B) |ψ⟩ ⊗ |ϕ⟩ = ⟨ψ|A|ψ⟩ ⟨ϕ|B|ϕ⟩ . Since A and B are positive operators, ⟨ψ|A|ψ⟩ ≥ 0 and ⟨ϕ|B|ϕ⟩ ≥ 0 for all |ψ⟩ , |ϕ⟩. Then ⟨ψ|A|ψ⟩ ⟨ϕ|B|ϕ⟩ ≥ 0. Thus A ⊗ B is positive if A and B are positive. 2.32
15 Suppose P1 and P2 are projectors. Then (P1 ⊗ P2 )2 = P12 ⊗ P22 = P1 ⊗ P2 . Thus P1 ⊗ P2 . is also projector. 2.33 [ ] 1 1 1 H=√ 2 1 −1
H ⊗2
(2.7)
1 1 1 1 [ ] [ ] 1 1 1 1 1 −1 1 −1 1 1 1 =√ ⊗√ = 2 1 1 −1 −1 2 1 −1 2 1 −1 1 −1 −1 1
2.34 ] 4 3 . Suppose A = 3 4 [
det(A − λI) = (4 − λ)2 − 32 = λ2 − 8λ + 7 = (λ − 1)(λ − 7) ] 1 , |λ = 7⟩ = −1
[ Eigenvalues of A are λ = 1, 7. Corresponding eigenvectors are |λ = 1⟩ = [ ] 1 √1 . 2 1 Thus A = |λ = 1⟩⟨λ = 1| + 7 |λ = 7⟩⟨λ = 7| . √
√ A = |λ = 1⟩⟨λ = 1| + 7 |λ = 7⟩⟨λ = 7| [ ] √ [ ] 1 1 −1 7 1 1 = + 2 −1 1 2 1 1 √ √ ] [ 1 1 + 7 −1 + 7 √ √ = 2 −1 + 7 1 + 7
log(A) = log(1) |λ = 1⟩⟨λ = 1| + log(7) |λ = 7⟩⟨λ = 7| [ ] log(7) 1 1 = 1 1 2
√1 2
16
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
2.35
⃗v · ⃗σ =
3 ∑
vi σi
i=1
[
] [ ] [ ] 0 1 0 −i 1 0 = v1 + v2 + v3 1 0 i 0 0 −1 [ ] v3 v1 − iv2 = v1 + iv2 −v3
det(⃗v · ⃗σ − λI) = (v3 − λ)(−v3 − λ) − (v1 − iv2 )(v1 + iv2 ) = λ2 − (v12 + v22 + v32 ) = λ2 − 1 (∵ |⃗v | = 1) Eigenvalues are λ = ±1. Let |λ±1 ⟩ be eigenvectors with eigenvalues ±1. Since ⃗v · ⃗σ is Hermitian, ⃗v · ⃗σ is diagonalizable. Then ⃗v · ⃗σ = |λ1 ⟩⟨λ1 | − |λ−1 ⟩⟨λ−1 | Thus exp (iθ⃗v · ⃗σ ) = eiθ |λ1 ⟩⟨λ1 | + e−iθ |λ−1 ⟩⟨λ−1 | = (cos θ + i sin θ) |λ1 ⟩⟨λ1 | + (cos θ − i sin θ) |λ−1 ⟩⟨λ−1 | = cos θ(|λ1 ⟩⟨λ1 | + |λ−1 ⟩⟨λ−1 |) + i sin θ(|λ1 ⟩⟨λ1 | − |λ−1 ⟩⟨λ−1 |) = cos(θ)I + i sin(θ)⃗v · ⃗σ . ∵ Since ⃗v · ⃗σ is Hermitian, |λ1 ⟩ and |λ−1 ⟩ are orthogonal. Thus |λ1 ⟩⟨λ1 | + |λ−1 ⟩⟨λ−1 | = I.
2.36 ([ 0 Tr(σ1 ) = Tr 1 ([ 0 Tr(σ2 ) = Tr i ([ 1 Tr(σ3 ) = Tr 0
2.37
1 0
])
=0 ]) −i =0 0 ]) 0 =1−1=0 −1
17
Tr(AB) =
∑
⟨i|AB|i⟩
i
=
∑
⟨i|AIB|i⟩
i
=
∑
⟨i|A|j⟩ ⟨j|B|i⟩
i,j
=
∑
⟨j|B|i⟩ ⟨i|A|j⟩
i,j
=
∑
⟨j|BA|j⟩
j
= Tr(BA) 2.38 Tr(A + B) =
∑
⟨i|A + B|i⟩
i
=
∑ (⟨i|A|i⟩ + ⟨i|B|i⟩) i
=
∑
⟨i|A|i⟩ +
i
∑
⟨i|B|i⟩
i
= Tr(A) + Tr(B).
Tr(zA) =
∑
⟨i|zA|i⟩
i
=
∑
z ⟨i|A|i⟩
i
=z
∑
⟨i|A|i⟩
i
= z Tr(A). 2.39 (1) (A, B) ≡ Tr(A† B). (i) ( A,
∑
) λi Bi
[
(
= Tr A†
i
∑
)] λ i Bi
i
= Tr(A† λ1 B1 ) + · · · + Tr(A† λn Bn ) †
†
= λ1 Tr(A B1 ) + · · · + λn Tr(A Bn ) ∑ = λi Tr(A† Bi ) i
(∵ Execise 2.38)
18
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS (ii) ( )∗ (A, B)∗ = Tr(A† B) ∗ ∑ = ⟨i|A† |j⟩ ⟨j|B|i⟩ i,j
=
∑
∗
⟨i|A† |j⟩ ⟨j|B|i⟩∗
i,j
=
∑
∗
⟨j|B|i⟩∗ ⟨i|A† |j⟩
i,j
=
∑
⟨i|B † |j⟩ ⟨j|A|i⟩
i,j
=
∑
⟨i|B † A|i⟩
i
= Tr(B † A) = (B, A). (iii) (A, A) = Tr(A† A) ∑ = ⟨i|A† A|i⟩ i
Since A† A is positive, ⟨i|A† A|i⟩ ≥ 0 for all |i⟩. Let ai be i-th column of A. If ⟨i|A† A|i⟩ = 0, then ⟨i|A† A|i⟩ = a†i ai = ∥ai ∥2 = 0 iff ai = 0. Therefore (A, A) = 0 iff A = 0. (2) (3) 2.40
[X, Y ] = XY [ 0 = 1 [ i = 0 [ 2i = 0 = 2iZ
−YX ][ ] [ ][ ] 1 0 −i 0 −i 0 1 − 0 i 0 i 0 1 0 ] [ ] 0 −i 0 − −i 0 i ] 0 −2i
19
] [ ][ ] [ ][ 1 0 0 −i 0 −i 1 0 − [Y, Z] = i 0 0 −1 0 −1 i 0 [ ] 0 2i = 2i 0 = 2iX
[ ][ ] [ ][ ] 1 0 0 1 0 1 1 0 [Z, X] = − 0 −1 1 0 1 0 0 −1 [ ] 0 −i = 2i i 0 = 2iY
2.41 {σ1 , σ2 } = σ1 σ2 + σ2 σ1 ] ][ ] [ ][ [ 0 −i 0 1 0 1 0 −i + = 1 0 i 0 1 0 i 0 ] ] [ [ −i 0 i 0 + = 0 i 0 −i =0
] ][ ] [ ][ [ 0 −i 1 0 0 −i 1 0 + {σ2 , σ3 } = 0 −1 i 0 0 −1 i 0 =0
] ][ ] [ ][ 0 1 1 0 0 1 1 0 {σ3 , σ1 } = + 1 0 0 −1 0 −1 1 0 [
=0
σ02 = I 2 = I [ ]2 0 1 2 σ1 = =I 1 0 [ ]2 0 −i 2 σ2 = =I i 0 [ ]2 1 0 2 σ3 = =I 0 −1
20
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
2.42 [A, B] + {A, B} AB − BA + AB + BA = = AB 2 2 2.43 From eq (2.75) and eq (2.76), {σj , σk } = 2δjk I. From eq (2.77), [σj , σk ] + {σj , σk } 2 ∑3 2i l=1 ϵjkl σl + 2δjk I = 2 3 ∑ = δjk I + i ϵjkl σl
σj σk =
l=1
2.44 By assumption, [A, B] = 0 and {A, B} = 0, then AB = 0. Since A is invertible, multiply by from left, then
A−1
A−1 AB = 0 IB = 0 B = 0. 2.45 [A, B]† = (AB − BA)† = B † A† − A† B † ] [ = B † , A† 2.46 [A, B] = AB − BA = −(BA − AB) = − [B, A] 2.47 (i [A, B])† = −i [A, B]† [ ] = −i B † , A† = −i [B, A] = i [A, B]
21
2.48 (Positive ) ∑ Since P is positive, it is diagonalizable. Then P = i λi |i⟩⟨i|, (λi ≥ 0). √ ∑ ∑√ √ √ λi |i⟩⟨i| = P. J = P †P = P P = P 2 = λ2i |i⟩⟨i| = i
i
Therefore polar decomposition of P is P = U P for all P . Thus U = I, then P = P . (Unitary) Suppose unitary U is decomposed by U = W J where W is unitary and J is positive, √ † J = U U. √ √ J = U †U = I = I Since unitary operators are invertible, W = U J −1 = U I −1 = U I = U . Thus polar decomposition of U is U = U . (Hermitian) Suppose H = U J. J=
√
H †H =
√
HH =
√ H 2.
√ Thus H = U H 2 . 0013
0010
√
In general, H ̸= H 2 . ∑ From spectral decomposition, H = i λi |i⟩⟨i|, λi ∈ R. √∑ ∑ ∑√ √ H2 = λ2i |i⟩⟨i| = |λi | |i⟩⟨i| ̸= H λ2i |i⟩⟨i| = i
i
i
0012
0011
2.49 ∑ Normal matrix is diagonalizable, A = i λi |i⟩⟨i|. √ ∑ J = A† A = |λi | |i⟩⟨i| . U=
∑
i
|ei ⟩⟨i|
i
A = UJ =
∑
|λi | |ei ⟩⟨i| .
i
2.50 [
] [ ] 1 0 2 1 † Define A = . A A= . 1 1 1 1 Characteristic equation of A† A is det(A† A − λI) = λ2 − 3λ + 1 = 0.] Eigenvalues of A† A are [ √ 2√ . λ± = 3±2 5 and associated eigenvectors are |λ± ⟩ = √ 1 √ 10∓2 5 −1 ± 5
22
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
A† A = λ+ |λ+ ⟩⟨λ+ | + λ− |λ− ⟩⟨λ− | .
J=
√
√ √ λ+ |λ+ ⟩⟨λ+ | + λ− |λ− ⟩⟨λ− | √ √ √ √ [ √ √ [ √ √ ] ] 3+ 5 5− 5 3− 5 5+ 5 4 2 5 − 2 4 −2 5 − 2 √ √ + √ √ = · · 2 5−2 6−2 5 −2 5 − 2 6 + 2 5 2 40 2 40
A† A =
1 1 |λ+ ⟩⟨λ+ | + √ |λ− ⟩⟨λ− | . J −1 = √ λ+ λ− U = AJ −1 I’m tired. 2.51
†
H H=
(
])† ] ] ] ] [ [ [ [ [ 1 1 1 1 1 1 1 1 1 1 2 0 1 1 1 √ √ √ =√ = = I. 2 0 2 2 1 −1 2 1 −1 2 1 −1 2 1 −1
2.52
†
H =
(
])† ] [ [ 1 1 1 1 1 1 √ =√ = H. 2 1 −1 2 1 −1
Thus H 2 = I.
2.53 (
)( ) 1 1 1 det (H − λI) = √ − λ −√ − λ − 2 2 2 1 1 = λ2 − − 2 2 2 =λ −1 ] 1√ . −1 ± 2
[ Eigenvalues are λ± = ±1 and associated eigenvectors are |λ± ⟩ = √ 2.54
1 √ 4∓2 2
23 Since [A, B] = 0, A and B are simultaneously diagonalize, A = ( exp(A) exp(B) =
∑
)( exp(ai ) |i⟩⟨i|
i
=
∑
∑
∑
i ai |i⟩⟨i|,
B=
∑
i bi |i⟩⟨i|.
) exp(bi ) |i⟩⟨i|
i
exp(ai + bj ) |i⟩ ⟨i|j⟩ ⟨j|
i,j
=
∑
exp(ai + bj ) |i⟩⟨j| δi,j
i,j
=
∑
exp(ai + bi ) |i⟩⟨i|
i
= exp(A + B)
2.55
H=
∑
E |E⟩⟨E|
E
) ( ) ( iH(t2 − t1 ) iH(t2 − t1 ) exp U (t2 − t1 )U (t2 − t1 ) = exp − ℏ ℏ ( ) )( ( ) ) ∑( iE(t2 − t1 ) iE ′ (t2 − t1 ) = exp − |E⟩⟨E| exp − |E ′ ⟩⟨E ′ | ℏ ℏ E,E ′ ( ) ) ∑( i(E − E ′ )(t2 − t1 ) = exp − |E⟩⟨E ′ | δE,E ′ ℏ E,E ′ ∑ = exp(0) |E⟩⟨E| †
E
=
∑
|E⟩⟨E|
E
=I Similarly, U † (t2 − t1 )U (t2 − t1 ) = I. 2.56 U=
∑
i λi |λi ⟩⟨λi |
log(U ) =
(|λi | = 1). ∑
log(λj ) |λj ⟩⟨λj | =
j
K = −i log(U ) =
∑
∑
iθj |λj ⟩⟨λj | where θj = arg(λj )
j
θj |λj ⟩⟨λj | .
j
K † = (−i log U )† =
∑ j
† θj |λj ⟩⟨λj | =
∑ j
θj∗ |λj ⟩⟨λj | =
∑ j
θj |λj ⟩⟨λj | = K
24
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
2.57 Ll |ψ⟩ |ϕ⟩ ≡ √ ⟨ψ|L†l Ll |ψ⟩ † ⟨ϕ|Mm Mm |ϕ⟩
=
† ⟨ψ|L†l Mm Mm Ll |ψ⟩
⟨ψ|L†l Ll |ψ⟩
√
⟨ψ|L†l Ll |ψ⟩ Mm Ll |ψ⟩ Mm Ll |ψ⟩ Nlm |ψ⟩ √ =√ ·√ =√ =√ † † † † ⟨ψ|L†l Ll |ψ⟩ ⟨ψ|L†l Mm Mm Ll |ψ⟩ ⟨ψ|L†l Mm Mm Ll |ψ⟩ ⟨ψ|Nlm Nlm |ψ⟩ ⟨ϕ|Mm Mm |ϕ⟩ Mm |ϕ⟩
2.58 ⟨M ⟩ = ⟨ψ|M |ψ⟩ = ⟨ψ|m|ψ⟩ = m ⟨ψ|ψ⟩ = m ⟨M 2 ⟩ = ⟨ψ|M 2 |ψ⟩ = ⟨ψ|m2 |ψ⟩ = m2 ⟨ψ|ψ⟩ = m2 deviation = ⟨M 2 ⟩ − ⟨M ⟩2 = m2 − m2 = 0. 2.59 ⟨X⟩ = ⟨0|X|0⟩ = ⟨0|1⟩ = 0 ⟨X 2 ⟩ = ⟨0|X 2 |0⟩ = ⟨0|X|1⟩ = ⟨0|0⟩ = 1 √ standard deviation = ⟨X 2 ⟩ − ⟨X⟩2 = 1 2.60
⃗v · ⃗σ =
3 ∑
vi σi
i=1
[
] [ ] [ ] 0 1 0 −i 1 0 = v1 + v2 + v3 1 0 i 0 0 −1 [ ] v3 v1 − iv2 = v1 + iv2 −v3 det(⃗v · ⃗σ − λI) = (v3 − λ)(−v3 − λ) − (v1 − iv2 )(v1 + iv2 ) = λ2 − (v12 + v22 + v32 ) = λ2 − 1 (∵ |⃗v | = 1) Eigenvalues are λ = ±1. (i) if λ = 1 ⃗v · ⃗σ − λI = ⃗v · ⃗σ − I [ ] v3 − 1 v1 − iv2 = v1 + iv2 −v3 − 1
25 Normalized eigenvector is |λ1 ⟩ =
√
[ 1+v3 2
1 + v3 |λ1 ⟩⟨λ1 | = 2 = = = =
1
]
1−v3 v1 −iv2
.
[
]
1 1−v3 v1 −iv2
[
1
1−v3 v1 +iv2
]
] [ v1 −iv2 1 1 + v3 1+v3 1−v3 v1 +iv2 2 1+v3 1+v3 [ ] 1 1 + v3 v1 − iv2 2 v1 + iv2 1 − v3 ( [ ]) 1 v3 v1 − iv2 I+ v1 + iv2 −v3 2 1 (I + ⃗v · ⃗σ ) 2
(ii) If λ = −1. ⃗v · ⃗σ − λI = ⃗v · ⃗σ + I [ ] v3 + 1 v1 − iv2 = v1 + iv2 −v3 + 1 [ ] √ 1 1−v3 Normalized eigenvalue is |λ−1 ⟩ = . 3 2 − v1+v 1 −iv2 [ ] ] [ 1 − v3 1 3 1 − v1+v |λ−1 ⟩⟨λ−1 | = 1+v3 +iv2 1 − 2 v −iv ] [ 1 2 1 −iv2 1 − v1−v 1 − v3 3 = 1+v3 1 +iv2 − v1−v 2 1−v3 3 ] [ 1 1 − v3 −(v1 − iv2 ) = 1 + v3 2 −(v1 + iv2 ) ( [ ]) 1 v3 v1 − iv2 = I− (v1 + iv2 −v3 2 1 = (I − ⃗v · ⃗σ ). 2 While I review my proof, I notice that my proof has a defect. The case (v1 , v2 , v3 ) = (0, 0, 1), 3 second component of eigenstate, v1−v , diverges. So I implicitly assume v1 − iv2 ̸= 0. Hence 1 −iv2 my proof is incomplete. Since the exercise doesn’t require explicit form of projector, we should prove the problem more abstractly. In order to prove, we use the following properties of ⃗v · ⃗σ • ⃗v · ⃗σ is Hermitian • (⃗v · ⃗σ )2 = I where ⃗v is a real unit vector. We can easily check above conditions. (⃗v · ⃗σ )† = (v1 σ1 + v2 σ2 + v3 σ3 )† = v1 σ1† + v2 σ2† + v3 σ3† = v1 σ1 + v2 σ2 + v3 σ3 = ⃗v · ⃗σ
(∵ Pauli matrices are Hermitian.)
26
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
(⃗v · ⃗σ )2 =
3 ∑
(vj σj )(vk σk )
j,k=1
=
3 ∑
vj vk σ j σ k
j,k=1
=
3 ∑
( vj vk
δjk I + i
j,k=1
=
3 ∑
3 ∑ j=1
=I
) ϵjkl σl
(∵ eqn(2.78) page78)
l=1
vj vk δjk I + i
j,k=1
=
3 ∑
3 ∑
ϵjkl vj vk σl
j,k,l=1
vj2 I ∵
∑
vj2 = 1
j
Proof. Suppose |λ⟩ is an eigenstate of ⃗v · ⃗σ with eigenvalue λ. Then ⃗v · ⃗σ |λ⟩ = λ |λ⟩ (⃗v · ⃗σ )2 |λ⟩ = λ2 |λ⟩ On the other hand (⃗v · ⃗σ )2 = I, (⃗v · ⃗σ )2 |λ⟩ = I |λ⟩ = |λ⟩ ∴ λ2 |λ⟩ = |λ⟩ . Thus λ2 = 1 ⇒ λ = ±1. Therefore ⃗v · ⃗σ has eigenvalues ±1. Let |λ1 ⟩ and |λ−1 ⟩ are eigenvectors with eigenvalues 1 and −1, respectively. I will prove that P± = |λ±1 ⟩⟨λ±1 |. In order to prove above equation, all we have to do is prove following condition. (see Theorem 2.0.1) 0013
0010
⟨ψ|(P± − |λ±1 ⟩⟨λ±1 |)|ψ⟩ = 0 for all |ψ⟩ ∈ C2 .
(2.8)
0012
0011
Since ⃗v ·⃗σ is Hermitian, |λ1 ⟩ and |λ−1 ⟩ are orthonormal vector (∵ Exercise 2.22). Let |ψ⟩ ∈ be an arbitrary state. |ψ⟩ can be written as |ψ⟩ = α |λ1 ⟩ + β |λ±1 ⟩ (|α|2 + |β|2 = 1, α, β ∈ C).
C2
27
⟨ψ|(P± − |λ± ⟩⟨λ± |)|ψ⟩ = ⟨ψ|P± |ψ⟩ − ⟨ψ|λ± ⟩ ⟨λ± |ψ⟩ . 1 ⟨ψ|P± |ψ⟩ = ⟨ψ| (I ± ⃗v · ⃗σ )|ψ⟩ 2 1 1 = ± ⟨ψ|⃗v · ⃗σ )|ψ⟩ 2 2 1 1 = ± (|α|2 − |β|2 ) 2 2 1 1 = ± (2|α|2 − 1) (∵ |α|2 + |β|2 = 1) 2 2 ⟨ψ|λ1 ⟩ ⟨λ1 |ψ⟩ = |α|2 ⟨ψ|λ−1 ⟩ ⟨λ−1 |ψ⟩ = |β|2 = 1 − |α|2 Therefore ⟨ψ|(P± − |λ±1 ⟩⟨λ±1 |)|ψ⟩ = 0 for all |ψ⟩ ∈ C2 . Thus P± = |λ±1 ⟩⟨λ±1 |. 2.61 ⟨λ1 |0⟩ ⟨0|λ1 ⟩ = ⟨0|λ1 ⟩ ⟨λ1 |0⟩ 1 = ⟨0| (I + ⃗v · ⃗σ )|0⟩ 2 1 = (1 + v3 ) 2 Post-measurement state is [ ] |λ1 ⟩ ⟨λ1 |0⟩ 1 1 1 + v3 √ =√ · 2 v1 + iv2 1 ⟨0|λ1 ⟩ ⟨λ1 |0⟩ (1 + v ) 3 2 √ [ ] 1 1 (1 + v3 ) v1 +iv2 = 2 1+v3 √ [ ] 1 + v3 1 = 1−v3 2 v1 −iv2 = |λ1 ⟩ .
2.62 † Suppose Mm is a measurement operator. From the assumption, Em = Mm Mm = Mm . Then
⟨ψ|Em |ψ⟩ = ⟨ψ|Mm |ψ⟩ ≥ 0. for all |ψ⟩. Since Mm is positive operator, Mm is Hermitian. Therefore, † 2 Em = Mm Mm = Mm Mm = M m = Mm .
Thus the measurement is a projective measurement.
28
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
2.63 √ † Em Um Um Em √ √ = Em I Em
† Mm Mm =
√
= Em . † Since Em is POVM, for arbitrary unitary U , Mm Mm is POVM.
2.64 Read following paper: Lu-Ming Duan, Guang-Can Guo. Probabilistic cloning and identification of linearly independent quantum states. Phys. Rev. Lett.,80:4999-5002, 1998. arXiv eprint quant-ph/9804064. https://arxiv.org/abs/quant-ph/9804064 2.65
|+⟩ ≡
|0⟩ + |1⟩ √ , 2
|−⟩ ≡
|0⟩ − |1⟩ √ 2
2.66 ( X1 Z2 ( ⟨X1 Z2 ⟩ =
⟨00| + ⟨11| √ 2
|00⟩ + |11⟩ √ 2
)
( X1 Z2
) =
|00⟩ + |11⟩ √ 2
|10⟩ − |01⟩ √ 2
) =
⟨00| + ⟨11| |10⟩ − |01⟩ √ √ · =0 2 2
2.67 Unsolved W ⊂ V → V = W ⊕ W ⊥. U : W → V , U′ : V → V . U ′ |w⟩ = U |w⟩ U ′ ∈ L(V ) U ∈ L(W ) U ′ = U ⊕ I ??? 2.68 √ |ψ⟩ = |00⟩+|11⟩ . 2 Suppose |a⟩ = a0 |0⟩ + a1 |1⟩ and |b⟩ = b0 |0⟩ + b1 |1⟩.
|a⟩ |b⟩ = a0 b0 |00⟩ + a0 b1 |01⟩ + a1 b0 |10⟩ + a1 b1 |11⟩ . If |ψ⟩ = |a⟩ |b⟩, then a0 b0 = 1, a0 b1 = 0, a1 b0 = 0, a1 b1 = 1 since {|ij⟩} is an orthonormal basis.
29 If a0 b1 = 0, then a0 = 0 or b1 = 0. When a0 = 0 , this is contradiction to a0 b0 = 1. When b1 = 0 , this is contradiction to a1 b1 = 1. Thus |ψ⟩ ̸= |a⟩ |b⟩. 2.69 Define Bell states as follows. |ψ1 ⟩ ≡
|00⟩ + |11⟩ √ = 2
|ψ2 ⟩ ≡
|00⟩ − |11⟩ √ = 2
|ψ3 ⟩ ≡
|01⟩ + |10⟩ √ = 2
|ψ4 ⟩ ≡
|01⟩ − |10⟩ √ = 2
1 1 0 √ 2 0 1 1 1 0 √ 2 0 −1 0 1 1 √ 2 1 0 0 1 1 √ 2 −1 0
First, we prove {|ψi ⟩} is a linearly independent basis. a1 |ψ1 ⟩ + a2 |ψ2 ⟩ + a3 |ψ3 ⟩ + a4 |ψ4 ⟩ = 0 a1 + a2 1 a3 + a4 =0 ∴√ 2 a3 − a4 a1 − a2 a1 + a2 = 0 a +a =0 3 4 ∴ a3 − a4 = 0 a1 − a2 = 0 ∴ a1 = a2 = a3 = a4 = 0 Thus {|ψi ⟩} is a linearly independent basis. Moreover ∥|ψi ⟩∥ = 1 and ⟨ψi |ψj ⟩ = δij for i, j = 1, 2, 3, 4. Therefore {|ψi ⟩} forms an orthonormal basis. 2.70 For any Bell states we get ⟨ψi |E ⊗ I|ψi ⟩ = 12 (⟨0|E|0⟩ + ⟨1|E|1⟩). Suppose Eve measures the qubit Alice sent by measurement operators Mm . The probability † † that Eve gets result m is pi (m) = ⟨ψi |Mm Mm ⊗ I|ψi ⟩. Since Mm Mm is positive, pi (m) are same values for all |ψi ⟩. Thus Eve can’t distinguish Bell states.
30
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
2.71 From spectral decomposition, ∑ ∑ ρ= pi |ψi ⟩⟨ψi | , pi ≥ 0, pi = 1. i
2
ρ =
∑
i
pi pj |i⟩ ⟨i|j⟩ ⟨j|
i,j
=
∑
pi pj |i⟩⟨j| δij
i,j
=
∑
p2i |i⟩⟨i|
i
( 2
Tr(ρ ) = Tr
∑ i
) p2i |i⟩⟨i|
=
∑ i
∑
p2i Tr(|i⟩⟨i|) =
∑ i
p2i ⟨i|i⟩ =
∑
p2i ≤
i
∑
pi = 1
(∵ p2i ≤ pi )
i
Suppose Tr(ρ2 ) = 1. Then i p2i = 1. If 0 ≤ pi < 1, then p2i < pi . Thus only one pi = 1 and otherwise are 0. Therefore ρ = |ψi ⟩⟨ψi | is pure state. Conversely if ρ is pure, then ρ = |ψ⟩⟨ψ|. Tr(ρ2 ) = Tr(|ψ⟩ ⟨ψ|ψ⟩ ⟨ψ|) = Tr(|ψ⟩⟨ψ|) = ⟨ψ|ψ⟩ = 1. 2.72 ] a b , a, d ∈ R and (1) Since density matrix is Hermitian, matrix representation is ρ = ∗ b d b ∈ C w.r.t. standard basis. Because ρ is density matrix, Tr(ρ) = a + d = 1. Define a = (1 + r3 )/2, d = (1 − r3 )/2 and b = (r1 − ir2 )/2, (ri ∈ R). In this case, ] [ ] [ 1 1 + r3 r1 − ir2 1 a b = = (I + ⃗r · ⃗σ ). ρ= ∗ b d 2 r1 + ir2 1 − r3 2 [
Thus for arbitrary density matrix ρ can be written as ρ = 21 (I + ⃗r · ⃗σ ). Next, we derive the condition that ρ is positive. If ρ is positive, all eigenvalues of ρ should be non-negative. det(ρ − λI) = (a − λ)(b − λ) − |b|2 = λ2 − (a + d)λ + ad − |b2 | = 0 √ (a + d) ± (a + d)2 − 4(ad − |b|2 ) λ= 2 √ ( 2 ) 1−r3 r12 +r22 1± 1−4 − 4 4 = 2 √ 1 ± 1 − (1 − r12 − r22 − r32 ) = 2 √ 1 ± |⃗r|2 = 2 1 ± |⃗r| = 2
31 r| Since ρ is positive, 1−|⃗ r| ≤ 1. 2 ≥ 0 → |⃗ Therefore an arbitrary density matrix for a mixed state qubit is written as ρ = 12 (I + ⃗r · ⃗σ ).
(2) ρ = I/2 → ⃗r = 0. Thus ρ = I/2 corresponds to the origin of Bloch sphere. (3) 1 1 ρ2 = (I + ⃗r · ⃗σ ) (I + ⃗r · ⃗σ ) 2 2 ) ( 3 ∑ ∑ 1 ϵjkl σl rj rk δjk I + i = I + 2⃗r · ⃗σ + 4 l=1
j,k
) 1( = I + 2⃗r · ⃗σ + |⃗r|2 I 4 1 2 Tr(ρ ) = (2 + 2|⃗r|2 ) 4 If ρ is pure, then Tr(ρ2 ) = 1. 1 1 = Tr(ρ2 ) = (2 + 2|⃗r|2 ) 4 ∴ |⃗r| = 1. Conversely, if |⃗r| = 1, then Tr(ρ2 ) = 14 (2 + 2|⃗r|2 ) = 1. Therefore ρ is pure. 2.73 0013
0010
Theorem 2.6
ρ=
∑
pi |ψi ⟩⟨ψi | =
i
∑
|ψ˜i ⟩⟨ψ˜i | =
i
∑
|φ˜j ⟩⟨φ˜j | =
∑
j
qj |φj ⟩⟨φj | ⇔ |ψ˜i ⟩ =
j
∑
uij |φ˜j ⟩
j
where u is unitary. ∑ Transformation in theorem 2.6, |ψ˜i ⟩ = j uij |φ˜j ⟩, corresponds to [
] [ ] |ψ˜1 ⟩ · · · |ψ˜k ⟩ = |φ˜1 ⟩ · · · |φ˜k ⟩ U T
where k = rank(ρ). 0012
0011 ∑ From spectral theorem, density matrix ρ is decomposed as ρ = dk=1 λk |k⟩⟨k| where d = dim H. Without loss of generality, we ∑ can assume pk > ∑ 0 for k = 1 · · · , l where l √ = rank(ρ) and ˜ k|, ˜ where |k⟩ ˜ = λk |k⟩. pk = 0 for k = l + 1, · · · , d. Thus ρ = lk=1 pk |k⟩⟨k| = lk=1 |k⟩⟨ Suppose |ψi ⟩ is a state in support ρ. Then
|ψi ⟩ =
l ∑ k=1
Define pi = ∑
1
|cik |2 k λk
and uik
cik |k⟩ ,
√ pi cik = √ . λk
∑ k
|cik |2 = 1.
32
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS Now ∑
|uik |2 =
∑ pi |cik |2
k
k
λk
= pi
∑ |cik |2 λk
k
= 1.
Next prepare an unitary operator 1 such that ith row of U is [ui1 · · · uik · · · uil ]. Then we can define another ensemble such that [ ] [ ] |ψ˜1 ⟩ · · · |ψ˜i ⟩ · · · |ψ˜l ⟩ = |k˜1 ⟩ · · · |k˜l ⟩ U T √ where |ψ˜i ⟩ = pi |ψi ⟩. From theorem 2.6, ∑ ∑ ˜ k| ˜ = ρ= |k⟩⟨ |ψ˜k ⟩⟨ψ˜k | . k
k
Therefore we can obtain ∑ a 1minimal ensemble for ρ that contains |ψi ⟩. −1 Moreover since ρ = k λk |k⟩⟨k|, ⟨ψi |ρ−1 |ψi ⟩ =
∑ 1 ∑ |cik |2 1 ⟨ψi |k⟩⟨k|ψi ⟩ = = . λk λk pi k
Hence,
1 ⟨ψi |ρ−1 |ψi ⟩
k
= pi .
2.74 ρAB = |a⟩⟨a|A ⊗ |b⟩⟨b|B ρA = TrB ρAB = |a⟩⟨a| Tr(|b⟩⟨b|) = |a⟩⟨a| Tr(ρ2A ) = 1 Thus ρA is pure. 2.75 Define |Φ± ⟩ =
√1 (|00⟩ 2
± |11⟩) and |Ψ± ⟩ =
√1 (|01⟩ 2
± |10⟩).
1 |Φ± ⟩⟨Φ± |AB = (|00⟩⟨00| ± |00⟩⟨11| ± |11⟩⟨00| + |11⟩⟨11|) 2 1 I TrB (|Φ± ⟩⟨Φ± |AB ) = (|0⟩⟨0| + |1⟩⟨1|) = 2 2 1 |Ψ± ⟩⟨Ψ± | = (|01⟩⟨01| ± |01⟩⟨10| ± |10⟩⟨01| + |10⟩⟨10|) 2 1 I TrB (|Ψ± ⟩⟨Ψ± |) = (|0⟩⟨0| + |1⟩⟨1|) = 2 2 2.76 By Gram-Schmidt procedure construct an orthonormal basis {uj } (row vector) with ui = [ui1 · · · uik · · · uil ]. u1 .. . Then define unitary U = ui . . .. 1
ul
33 Unsolved. I think the polar decomposition can only apply to square matrix A, not arbitrary linear operators. Suppose A is m × n matrix. Then size of A† A is n × n. Thus the size of U should be m × n. Maybe U is isometry, but I think it is not unitary. I misunderstand linear operator. Quoted from ”Advanced Liner Algebra” by Steven Roman, ISBN 0387247661. A linear transformation τ : V → V is called a linear operator on V .2 Thus coordinate matrices of linear operator are square matrices. And Nielsen and Chaung say at Theorem 2.3, ”Let A be a linear operator on a vector space V .” Therefore A is a linear transformation such that A : V → V . 2.77
|ψ⟩ = |0⟩ |Φ+ ⟩ [ ] 1 = |0⟩ √ (|00⟩ + |11⟩) 2 ] [ 1 = (α |ϕ0 ⟩ + β |ϕ1 ⟩) √ (|ϕ0 ϕ0 ⟩ + |ϕ1 ϕ1 ⟩) 2
where |ϕi ⟩ are arbitrary orthonormal∑states and α, β ∈ C. We cannot vanish cross term. Therefore |ψ⟩ cannot be written as |ψ⟩ = i λi |i⟩A |i⟩B |i⟩C . 2.78
Proof. Former part. If |ψ⟩ is product, then there exist a state |ϕA ⟩ for system A, and a state |ϕB ⟩ for system B such that |ψ⟩ = |ϕA ⟩ |ϕB ⟩. Obviously, this Schmidt number is 1. Conversely, if Schmidt number is 1, the state is written as |ψ⟩ = |ϕA ⟩ |ϕB ⟩. Hence this is a product state. Proof. Later part. (⇒) Proved by exercise 2.74. ∑ ∑ (⇐) Let a pure state be |ψ⟩ = i λi |iA ⟩ |iB ⟩. Then ρA = TrB (|ψ⟩⟨ψ|) = i λ2i |i⟩⟨i|. If ρA is a pure state, then λj = 1 and otherwise 0 for some j. It follows that |ψj ⟩ = |jA ⟩ |jB ⟩. Thus |ψ⟩ is a product state.
2.79
2
According to Roman, some authors use the term linear operator for any linear transformation from V to W .
34
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
0013
0010
Procedure of∑ Schmidt decomposition. √ Goal: |ψ⟩ = i λi |iA ⟩ |iB ⟩ • Diagonalize reduced density matrix ρA = • Derive |iB ⟩, |iB ⟩ =
0012
∑
i λi |iA ⟩⟨iA |.
(I ⊗ ⟨iA |) |ψ⟩ √ λi
• Construct |ψ⟩.
0011
(i) 1 √ (|00⟩ + |11⟩) This is already decomposed. 2 (ii) |00⟩ + |01⟩ + |10⟩ + |11⟩ = 2
(
|0⟩ + |1⟩ √ 2
)
( ⊗
|0⟩ + |1⟩ √ 2
) = |ψ⟩ |ψ⟩ where |ψ⟩ =
(iii) 1 |ψ⟩AB = √ (|00⟩ + |01⟩ + |10⟩) 3 ρAB = |ψ⟩⟨ψ|AB 1 ρA = TrB (ρAB ) = (2 |0⟩⟨0| + |0⟩⟨1| + |1⟩⟨0| + |1⟩⟨1|) ( )( 3 ) 2 1 1 det(ρA − λI) = −λ −λ − =0 3 3 9 1 λ2 − λ + = 0 9√ √ 1 ± 5/3 3± 5 λ= = 2 6 [ √ ] √ 1+ 5 3+ 5 1 2 Eigenvector with eigenvalue λ0 ≡ . is |λ0 ⟩ ≡ √ √ 6 1 5+ 5 2 [ √ ] √ 1− 5 3− 5 1 2 Eigenvector with eigenvalue λ1 ≡ is |λ1 ⟩ ≡ √ √ . 6 1 5− 5 2
ρA = λ0 |λ0 ⟩⟨λ0 | + λ1 |λ1 ⟩⟨λ1 | . (I ⊗ ⟨λ0 |) |ψ⟩ √ λ0 (I ⊗ ⟨λ1 |) |ψ⟩ √ |a1 ⟩ ≡ λ1 |a0 ⟩ ≡
Then |ψ⟩ =
1 √ ∑ λi |ai ⟩ |λi ⟩ . i=0
|0⟩ + |1⟩ √ 2
35 (It’s too tiresome to calculate |ai ⟩) 2.80 ∑ ∑ Let |ψ⟩ = i λi |ψi ⟩A |ψi ⟩B and |φ⟩ = i λi |φi ⟩A |φi ⟩B . ∑ ∑ Define U = i |ψj ⟩⟨φj |A and V = j |ψj ⟩⟨φj |. Then (U ⊗ V ) |φ⟩ =
∑
λi U |φi ⟩A V |φi ⟩B
i
=
∑
λi |ψi ⟩A |ψi ⟩B
i
= |ψ⟩ .
2.81 Suppose ρA = TrR |AR2 ⟩⟨AR2 | =
∑
i λi |i⟩⟨i|.
Define |AR1 ⟩ = (IA ⊗ UR ) |AR2 ⟩.
) ( TrR (|AR1 ⟩⟨AR1 |) = TrR (IA ⊗ UR ) |AR2 ⟩⟨AR2 | (IA ⊗ UR† ) ) ( = TrR |AR2 ⟩⟨AR2 | (IA ⊗ UR† )(IA ⊗ UR ) = TrR (|AR2 ⟩⟨AR2 |) = ρA . Thus |AR1 ⟩ is also a purification of ρA . 2.82 (1) ∑ √ Let |ψ⟩ = i pi |ψi ⟩ |i⟩. TrR (|ψ⟩⟨ψ|) =
∑
pi |ψi ⟩⟨ψi |
i
Thus |ψ⟩ is a purification of ρ. (2) Probability Tr [(I ⊗ |i⟩⟨i|) |ψ⟩⟨ψ|] = ⟨ψ|(I ⊗ |i⟩⟨i|)|ψ⟩ = pi ⟨ψi |ψi ⟩ = pi . Post-measurement state (I ⊗ |i⟩⟨i| |ψ⟩) = √ pi
(3)
√
pi |ψi ⟩ = |ψi ⟩ . √ pi
36
CHAPTER 2. INTRODUCTION TO QUANTUM MECHANICS
∑ √ Suppose |AR⟩ is a purification of ρ such that |AR⟩ = i pi |ψi ⟩ |ri ⟩. By exercise 2.81, the others purification is written as (I ⊗ U ) |AR⟩. ∑√ (I ⊗ U ) |AR⟩ = (I ⊗ U ) pi |ψi ⟩ |ri ⟩ =
∑√
i
pi |ψi ⟩ U |ri ⟩
i
=
∑√
pi |ψi ⟩ |i⟩
i
∑ where U = i |i⟩⟨ri |. By (2), if we measure the system R w.r.t |i⟩, post-measurement state for system A is |ψi ⟩ with probability pi , which prove the assertion. Problem 2.1 From Exercise 2.35, ⃗n · ⃗σ is decomposed as ⃗n · ⃗σ = |λ1 ⟩⟨λ1 | − |λ−1 ⟩⟨λ−1 | where |λ±1 ⟩ are eigenvector of ⃗n · ⃗σ with eigenvalues ±1. Thus f (θ⃗n · ⃗σ ) = f (θ) |λ1 ⟩⟨λ1 | + f (−θ) |λ−1 ⟩⟨λ−1 | ( ) ( ) f (θ) + f (−θ) f (θ) − f (−θ) f (θ) + f (−θ) f (θ) − f (−θ) = + |λ1 ⟩⟨λ1 | + − |λ−1 ⟩⟨λ−1 | 2 2 2 2 f (θ) + f (−θ) f (θ) − f (−θ) = (|λ1 ⟩⟨λ1 | + |λ−1 ⟩⟨λ−1 |) + (|λ1 ⟩⟨λ1 | − |λ−1 ⟩⟨λ−1 |) 2 2 f (θ) − f (−θ) f (θ) + f (−θ) I+ ⃗n · ⃗σ = 2 2 Problem 2.2 Unsolved Problem 2.3 Unsolved
Chapter 8
Quantum noise and quantum operations 8.1 Density operator of initial state is written by |ψ⟩⟨ψ| and final state is written by U |ψ⟩⟨ψ| U † . Thus time development of ρ = |ψ⟩⟨ψ| can be written by E(ρ) = U ρU † . 8.2 From eqn (2.147) (on page 100), ρm =
† Mm ρMm † Tr(Mm Mm ρ)
=
† Mm ρMm † Tr(Mm ρMm )
=
Em (ρ) . Tr Em (ρ)
† † And from eqn (2.143) (on page 99), p(m) = Tr(Mm Mm ρ) = Tr(Mm ρMm ) = Tr Em (ρ).
8.3
8.4 8.5 8.6 8.7 8.8 8.9 8.10 8.11 8.12 8.13 37
38
8.14 8.15 8.16 8.17 8.18 8.19 8.20 8.21 8.22 8.23 8.24 8.25 8.26 8.27 8.28 8.29 8.30 8.31 8.32 8.33 8.34 8.35
CHAPTER 8. QUANTUM NOISE AND QUANTUM OPERATIONS
Chapter 9
Distance measures for quantum information 9.1 1 (|1 − 1/2| + |0 − 1/2|) 2( ) 1 1 1 = + 2 2 2 1 = 2
D((1, 0), (1/2, 1/2)) =
1 (|1/2 − 3/4| + |1/3 − 1/8| + |1/6 − 1/8|) 2 1 = (1/4 + 5/24 + 1/24) 2 1 = 4
D ((1/2, 1/3, 1/6), (3/4, 1/8, 1/8)) =
9.2 1 (|p − q| + |(1 − p) − (1 − q)|) 2 1 = (|p − q| + | − p + q|) 2 = |p − q|
D ((p, 1 − p), (q, 1 − q)) =
9.3 F ((1, 0), (1/2, 1/2)) =
√ √ 1 1 · 1/2 + 0 · 1/2 = √ 2
√ √ √ 1/2 · 3/4 + 1/3 · 1/8 + 1/6 · 1/8 √ √ 4 6+ 3 = 12
F ((1/2, 1/3, 1/6), (3/4, 1/8, 1/8)) =
39
40
CHAPTER 9. DISTANCE MEASURES FOR QUANTUM INFORMATION
9.4 Define rx = px − qx . Let U be the whole index set. ∑ ∑ max |p(S) − q(S)| = max px − qx S S x∈S x∈S ∑ = max (px − qx ) S x∈S ∑ = max rx S Since
∑
x∈S
x∈S rx
is written as ∑
rx =
x∈S
∑
∑
∑
rx +
x∈S rx ≥0
rx ,
(9.1)
x∈S rx <0
is maximized when S = {x ∈ U |rx ≥ 0} or S = {x ∈ U |rx < 0}. r x x∈S Define S+ = {x ∈ U |rx ≥ 0} and S− = {x ∈ U |rx < 0}. Now the sum of all rx is 0, ∑ ∑ ∑ rx = rx + rx = 0 x∈U
∴
∑
x∈S+
rx = −
x∈S+
Thus
x∈S−
∑
rx .
x∈S−
∑ ∑ ∑ max rx = rx = − rx . S x∈S
x∈S+
x∈S−
On the other hand, 1∑ |px − qx | 2 x∈U 1∑ |rx | = 2 x∈U 1 ∑ 1 ∑ = |rx | + |rx | 2 2
D(px , qx ) =
x∈S+
x∈S−
1 ∑ 1 ∑ rx − rx = 2 2 x∈S+
x∈S−
1 ∑ 1 ∑ = rx + rx 2 2 x∈S+ x∈S+ ∑ = rx x∈S+
∑ = max rx . S x∈S
(∵ eqn(9.2))
(9.2)
41 ∑ ∑ Therefore D(px , qx ) = maxS x∈S px − x∈S qx = maxS |p(S) − q(S)|. 9.5 ∑ ∑ From eqn (9.1) and (9.2), maximizing x∈S rx is equivalent to maximizing x∈S rx . Hence ( ) ∑ ∑ D(px , qx ) = max(p(S) − q(S)) = max px − qx . S
S
x∈S
x∈S
9.6 Define ρ =
3 4
|0⟩⟨0| + 14 |1⟩⟨1|, σ =
2 3
|1⟩⟨1| + 31 |1⟩⟨1|.
1 Tr |ρ − σ| 2 = D((3/4, 1/4), (2/3, 1/3)) ) ( 1 3 2 1 1 = − + − 2 4 3 4 3 ( ) 1 1 1 = + 2 12 12 1 = 12
D(ρ, σ) =
Define ρ =
3 4
|0⟩⟨0| + 14 |1⟩⟨1|, σ =
2 3
|+⟩⟨+| + 13 |−⟩⟨−|.
1 |+⟩⟨+| = (|0⟩⟨0| + |0⟩⟨1| + |1⟩⟨0| + |1⟩⟨1|) 2 1 |−⟩⟨−| = (|0⟩⟨0| − |0⟩⟨1| − |1⟩⟨0| + |1⟩⟨1|) 2 (
3 1 − 4 2
)
1 ρ−σ = |0⟩⟨0| − (|0⟩⟨1| + |1⟩⟨0|) + 6 1 1 1 = |0⟩⟨0| − (|0⟩⟨1| + |1⟩⟨0|) − |1⟩⟨1| 4 6 4
(
1 1 − 4 2
) |1⟩⟨1|
1 1 1 1 1 1 1 1 |0⟩⟨0| − |0⟩⟨1| + 2 |0⟩⟨0| + |0⟩⟨1| − |1⟩⟨0| + 2 |1⟩⟨1| + |1⟩⟨0| + 2 |1⟩⟨1| 2 4 6 6·4 4·6 6 4·6 4 ( )4 · 6 1 1 = + (|0⟩⟨0| + |1⟩⟨1|) 42 62
(ρ − σ)† (ρ − σ) =
1 Tr |ρ − σ| 2 √ 1 1 = + 2 2 4 6
D(ρ, σ) =
9.7
42
CHAPTER 9. DISTANCE MEASURES FOR QUANTUM INFORMATION Since ρ − σ is Hermitian, we can apply spectral decomposition. Then ρ − σ is written as ρ−σ =
k ∑
n ∑
λi |i⟩⟨i| +
i=1
λi |i⟩⟨i|
i=k+1
where λi are positive ∑ eigenvalues for i = 1, ∑· · · , k and negative eigenvalues for i = k + 1, · · · , n. Define Q = ki=1 λi |i⟩⟨i| and S = − ni=k+1 λi |i⟩⟨i|. Then P and S are positive operator. Therefore ρ − σ = P − S. 0013
0010
Proof of |ρ − σ| = Q + S. |ρ − σ| = |Q − S| √ = (Q − S)† (Q − S) √ = (Q − S)2 √ = Q2 − QS − SQ + S 2 √ = Q2 + S 2 √∑ = λ2i |i⟩⟨i| =
∑
i
|λi | |i⟩⟨i|
i
=Q+S 0012
0011
9.8 ∑ Suppose σ = σi . Then σ = i pi σi . ( ) ( ) ∑ ∑ ∑ D pi ρi , σ = D pi ρi , pi σi i
≤
∑
i
(9.3)
i
pi D(ρi , σi )
(∵ eqn(9.50))
(9.4)
i
=
∑
pi D(ρi , σ). (∵ assumption).
(9.5)
i
9.9 9.10 9.11 9.12 Suppose ρ = 21 (I + ⃗r · ⃗σ ) and σ = 12 (I + ⃗s · ⃗σ ) where ⃗v and ⃗s are real vectors s.t. |⃗v |, |⃗s| ≤ 1. I E(ρ) = p + (1 − p)ρ, 2
I E(σ) = p + (1 − p)σ. 2
43
1 Tr |E(ρ) − E(σ)| 2 1 = Tr |(1 − p)(ρ − σ)| 2 1 = (1 − p) Tr |ρ − σ| 2 = (1 − p)D(ρ, σ) |⃗r − ⃗s| = (1 − p) 2
D(E(ρ), E(σ)) =
Is this strictly contractive? 9.13 Bit flip channel E0 =
√
pI, E1 =
√
1 − pσx .
E(ρ) = E0 ρE0† + E1 ρE1† = pρ + (1 − p)σx ρσx . Since σx σx σx = σx , σx σy σx = −σy and σx σz σx = −σz , then σx (⃗r · ⃗σ ) = r1 σx − r2 σy − r3 σ3 . Thus 1 Tr |E(ρ) − E(σ)| 2 1 = Tr |p(ρ − σ) + (1 − p)(σx ρσx − σx σσx )| 2 1 1 ≤ p Tr |ρ − σ| + (1 − p) Tr |σx (ρ − σ)σx | 2 2 = pD(ρ, σ) + (1 − p)D(σx ρσx , σx σσx )
D(E(ρ), E(σ)) =
= D(ρ, σ)
(∵ eqn(9.21)).
Suppose ρ0 = 12 (I + ⃗r · ⃗σ ) is a fixed point. Then ρ0 = E(ρ0 ) = pρ0 + (1 − p)σx ρ0 σx ∴ (1 − p)ρ0 − (1 − p)σx ρ0 σx = 0 ∴ (1 − p)(ρ − σx ρ0 σx ) = 0 ∴ ρ0 = σx ρ0 σx 1 1 ∴ (I + r1 σx + r2 σy + r3 σz ) (I + r1 σx − r2 σy − r3 σz ) 2 2 Since {I, σx , σy , σz } are linearly independent, r2 = −r2 and r3 = −r3 . Thus r2 = r3 = 0. Therefore the set of fixed points for the bit flip channel is {ρ | ρ = 21 (I + rσx ), |r| ≤ 1, r ∈ R} 9.14
44
CHAPTER 9. DISTANCE MEASURES FOR QUANTUM INFORMATION
√ F (U ρU , U σU ) = Tr (U ρU † )1/2 σ(U ρU † ) √ = Tr U ρ1/2 σρ1/2 U † √ = Tr(U ρ1/2 σρ1/2 U † ) √ = Tr( ρ1/2 σρ1/2 U † U ) √ = Tr ρ1/2 σρ1/2 †
†
= F (ρ, σ) 0013
√
0010
√
I think the fact U AU † = U AU † is not restricted for positive operator. Suppose A is a normal matrix. From spectral theorem, it is decomposed as ∑ A= ai |i⟩⟨i| . i
Let f be a function. Then ∑ f (U AU † ) = f ( ai U |i⟩⟨i| U † ) =
∑ i
= U(
i
f (ai )U |i⟩⟨i| U †
∑
f (ai )U |i⟩⟨i| U † )U †
i
= U f (A)U † 0012
0011
9.15 √ √ |ψ⟩ = (UR ⊗ ρUQ ) |m⟩ is any fixed purification of ρ, and |ϕ⟩ = (VR ⊗ σVQ ) |m⟩ is purification √ √ √ √ √ √ of σ. Suppose ρ σ = | ρ σ|V is the polar decomposition of ρ σ. Then ( ) †√ √ | ⟨ψ|ϕ⟩ | = ⟨m| UR† VR ⊗ UQ ρ σVQ |m⟩ ( ) †√ √ = Tr (UR† VR )T UQ ρ σVQ ( ) †√ √ = Tr VRT UR∗ UQ ρ σVQ ( ) †√ √ ρ σ = Tr VQ VRT UR∗ UQ ( ) † √ √ = Tr VQ VRT UR∗ UQ | ρ σ|V ( ) † √ √ = Tr V VQ VRT UR∗ UQ | ρ σ| √ √ ≤ Tr | ρ σ| = F (ρ, σ) ∗ U † )† we see that equality is attained. Choosing VQ = V † , VRT = (UQ R
9.16
45 I think eq (9.73) has a typo. Tr(A† B) = ⟨m|A ⊗ B|m⟩ should be Tr(AT B) = ⟨m|A ⊗ B|m⟩. See errata list. In order to show that this exercise, I will prove following two properties, Tr(A) = ⟨m|(I ⊗ A)|m⟩ , (I ⊗ A) |m⟩ = (AT ⊗ I) |m⟩ where A is a linear operator and |m⟩ is unnormalized maximally entangled state, |m⟩ = ⟨m|I ⊗ A|m⟩ =
∑
⟨ii|(I ⊗ A)|jj⟩
ij
=
∑
⟨i|I|j⟩ ⟨i|A|j⟩
ij
=
∑
δij ⟨i|A|j⟩
ij
=
∑
⟨i|A|i⟩
i
Suppose A =
= Tr(A)
∑ ij
aij |i⟩⟨j|.
(I ⊗ A) |m⟩ = I ⊗ =
∑
∑
aij |i⟩⟨j|
∑
ij
|kk⟩
k
aij |k⟩ ⊗ |i⟩ ⟨j|k⟩
ijk
=
∑
aij |k⟩ ⊗ |i⟩ δjk
ijk
=
∑
aij |j⟩ ⊗ |i⟩
ij
=
∑
aji |i⟩ ⊗ |j⟩
ij
∑ ∑ (AT ⊗ I) |m⟩ = aji |i⟩⟨j| ⊗ I |kk⟩ ij
=
∑
k
aji |i⟩ ⟨j|k⟩ ⊗ |k⟩
ij
=
∑
aji |i⟩ δjk ⊗ |k⟩
ij
=
∑
aji |ij⟩
ij
= (I ⊗ A) |m⟩ Thus Tr(AT B) = Tr(BAT ) = ⟨m|I ⊗ BAT |m⟩ = ⟨m|(I ⊗ B)(I ⊗ AT )|m⟩ = ⟨m|(I ⊗ B)(A ⊗ I)|m⟩ = ⟨m|A ⊗ B|m⟩ .
∑
i |ii⟩.
46
CHAPTER 9. DISTANCE MEASURES FOR QUANTUM INFORMATION
9.17 If ρ = σ, then F (ρ, σ) = 1. Thus A(ρ, σ) = arccos F (ρ, σ) = arccos 1 = 0. If A(ρ, σ) = 0, then arccos F (ρ, σ) = 0 ⇒ cos(arccos F (ρ, σ)) = cos(0) ⇒ F (ρ, σ) = 1 (∵ text p.411, the fifth line from bottom). 9.18 For 0 ≤ x ≤ y ≤ 1, arccos(x) ≥ arccos(y). From F (E(ρ), E(σ)) ≥ F (ρ, σ) and 0 ≤ F (E(ρ), E(σ)), F (ρ, σ) ≤ 1, arccos F (E(ρ), E(σ)) ≥ arccos F (ρ, σ) ∴ A(E(ρ), E(σ)) ≥ A(ρ, σ) 9.19 From eq (9.92) F
( ∑
pi ρi ,
i
∑
) ≥
pi σi
i
∑√ pi pi F (ρi , σi ) i
=
∑
pi F (ρi , σi ).
i
9.20 Suppose σi = σ. Then F
( ∑
) pi ρi , σ
=F
i
( ∑
pi ρi ,
∑
i
=F ≥
( ∑
∑
) pi σ
i
pi ρi ,
∑
i
) pi σi
i
pi F (ρi , σi ) (∵ Exercise9.19)
i
=
∑
pi F (ρi , σ)
i
9.21 1 − F (|ψ⟩ , σ)2 = 1 − ⟨ψ|σ|ψ⟩ (∵ eq(9.60))
D(|ψ⟩ , σ) = max Tr(P (ρ − σ)) (where P is projector.) P
≥ Tr (|ψ⟩⟨ψ| (ρ − σ)) = ⟨ψ|(|ψ⟩⟨ψ| − σ)|ψ⟩ = 1 − ⟨ψ|σ|ψ⟩ = 1 − F (|ψ⟩ , σ)2 . 9.22
47 (ref: QCQI Exercise Solutions (Chapter 9) - めもめも http://enakai00.hatenablog.com/entry/2018/04/12/134722) For all ρ, following inequality is satisfied, d(V U ρU † V † , F ◦ E(ρ)) ≤ d(V U ρU † V † , F(U ρU † )) + d(F(U ρU † ), F ◦ E(ρ)) ≤ d(V U ρU † V † ) + d(U ρU † , E(ρ)) ≤ E(V, F) + E(U, E). First inequality is triangular inequality, second is contractivity of the metric1 and third is from definition of E. Above inequality is hold for all ρ. Thus E(V U, F ◦ E) ≤ E(V, F) + E(U, E). 9.23 (⇐) If E(ρj ) = ρj for all j such that pj > 0, then ∑ ∑ ∑ ∑ F¯ = pj F (ρj , E(ρj ))2 = pj F (ρj , ρj )2 = pj 12 = pj = 1. j
j
j
j
(⇒) Suppose E(ρj ) ̸= ρj . Then F (ρj , E(ρj )) < 1 (∵ text p.411, the fifth line from bottom ). Thus ∑ ∑ F¯ = pj F (ρj , E(ρj ))2 < pj = 1. j
j
Therefore if F¯ = 1, then E(ρj ) = ρj . Problem 1 Problem 2
Problem 3 Theorem 5.3 of ”Theory of Quantum Error Correction for General Noise”, Emanuel Knill, Raymond Laflamme, and Lorenza Viola, Phys. Rev. Lett. 84, 2525 ‒ Published 13 March 2000. arXiv:quant-ph/9604034 https://arxiv.org/abs/quant-ph/9604034
1
Trace distance and angle are satisfied with contractive (eq (9.35), eq (9.91)), but I don’t assure that arbitrary metric satisfied with contractive.