Quantum Optics and Quantum Information: Problem Set #8, Assignments of Physics

A problem set from a university course on quantum optics and quantum information. It includes three quantum mechanics problems related to density matrices, linear entropy, and von neumann entropy. The problems involve calculating eigenvalues and reduced density matrices, as well as interpreting the results in terms of entanglement.

Typology: Assignments

Pre 2010

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Topics in Quantum Optics and Quantum Information by Man Hong, Yung
University of Illinois at Urbana-Champaign
last updated 14 April 2007
Page 1 of 5
Problem Set #8
Question 1
Given the following density matrices:
1 2 3 4
1 0 0 1 1 0 0 1/ 2 1 0 0 0 1 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0
1 1 1 1
, , ,
0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
2 2 2 4
1 0 0 1 1/ 2 0 0 1 0 0 0 1 0 0 0 1
ρ ρ ρ ρ
= = = =
Within the 10 combinations
(
)
, 1
j k
Fρ ρ
=
for
j k
=
. So we just need to consider
terms,
( )
1 2
3
,
4
Fρ ρ
=
,
( )
1 3
1
,
2
Fρ ρ
=
,
( )
1 4
1
,
4
Fρ ρ
=
,
( )
(
)
2 3
1
, 2 3 0.933
4
Fρ ρ = + =
,
( )
(
)
2 4
1
, 2 3 0.467
8
Fρ ρ = + =
and
( )
3 4
1
,
2
Fρ ρ
=
.
Question 2
(a)
Given the linear entropy
( ) ( )
(
)
2
41
3
L
S x Tr x
ρ=
,
(
)
1 0
L
S
=
,
(
)
2 1 / 2
L
S=
,
(
)
3 2/3
L
S=
and
(
)
4 1
L
S
=
.
(b)
Given the von Neumann entropy
2
log
S tr
ρ ρ
= , let
(
)
k
EV
ρ
be the list of
eigenvalues of the density matrix
k
ρ
,
(
)
{
}
(
)
( ) ( )
( ) ( )
( ) ( ) ( )
1 1
2 2 2 2
3 3 2 2
4 3 2
1,0,0,0 0,
1 3 1 1 3 3
, ,0,0 log log 0.81,
4 4 4 4 4 4
1 3 1 1 1 1
, ,0,0 log log 1,
4 4 2 2 2 2
1111
, , , log 4 2,
4 4 4 4
EV S
EV S
EV S
EV S
ρ ρ
ρ ρ
ρ ρ
ρ ρ
= =
= = =
= = =
= = =
which are more or less correlated with the linear entropy.
pf3
pf4
pf5

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University of Illinois at Urbana-Champaign last updated 14 April 2007

Problem Set # Question 1 Given the following density matrices:

1 2 3 4

ρ ρ ρ ρ

= ^ ^ = ^ ^ = ^ ^ = ^ 

Within the 10 combinations F ( ρ j , ρ k )= 1 for j = k. So we just need to consider 6

terms, ( 1 , 2 )^3

F ρ ρ = , ( 1 , 3 )^1

F ρ ρ = , ( 1 , 4 )^1

F ρ ρ = , (^) ( 2 , (^3) ) (^1) ( 2 3 ) 0. 4

F ρ ρ = + = ,

( 2 ,^4 ) (^1) ( 2 3 ) 0. 8

F ρ ρ = + = and ( 3 , 4 )^1

F ρ ρ =.

Question 2 (a)

Given the linear entropy (^) ( ) (^4) ( 1 ( )^2 ) L 3 S x = − Tr ρ x ,

SL ( 1 ) = 0 , S L ( 2 )= 1/ 2, S L ( 3 ) = 2 / 3 and S L ( 4 )= 1.

(b)

Given the von Neumann entropy S = − tr ρ log 2 ρ, let EV ( ρ k ) be the list of

eigenvalues of the density matrix ρ (^) k ,

1 1

2 2 2 2

3 3 2 2

4 3 2

(^1) , 3 , 0, 0 1 log 1 3 log 3 0.81, 4 4 4 4 4 4 (^1) , 3 , 0, 0 1 log 1 1 log 1 1, 4 4 2 2 2 2 (^1) , 1 , 1 , 1 log 4 2, 4 4 4 4

EV S

EV S

EV S

EV S

ρ ρ

ρ ρ

ρ ρ

ρ ρ

= ^ ^ ⇒ = − ^ ^ − ^ =

= ^ ^ ⇒ = − ^ ^ − ^ =

= ^  ⇒ = =

which are more or less correlated with the linear entropy.

University of Illinois at Urbana-Champaign last updated 14 April 2007

Question 3 (a) We first consider how to systematically get the reduced density matrix: (let’s ignore the matrix elements)

00 00 01 00 10 00 11 00 00 01 01 01 10 01 11 01 . 00 10 01 10 10 10 11 10 00 11 01 11 10 11 11 11

ρ

= ^ 

To take the partial trace, using the rule: tr p q = q p , we then have

0 0 0 1 0 0 0 0 0 0 1 0 . 0 1 0 1 1 0 0 0 1 0 1 1

ρ

→ ^ 

Therefore, a systematic way to obtain the reduced density matrix is to sum over the diagonal elements of the submatrices (not true for matrices other than the 4x4 one).

So we have

1 2

3 4

ρ ρ

ρ ρ

= ^ ^ →   = ^ →  

= ^ ^ →   = ^ →  

They are all the same. The entropy E ɶ^ = − Tr ρ red (^) log 2 ρ red = 1 (which of course cannot

be considered as entanglement).

(b)

The eigenvalues for the R (^) ( ρ (^2) ) are 3 / 4 and 1/ 4 , so C (^) ( ρ 2 )= 1/ 2, x = (^) ( 2 + 3 / 4) ,

E ( ρ 2 )= 0.35. The eigenvlaues for R ( ρ 3 ) are 1/2 and 1/2, so E ( ρ 3 )= 0.

University of Illinois at Urbana-Champaign last updated 14 April 2007

3 1 2 (^2 1 ) 2 1 2 2 12 2 12 1 2 1 2 (^23 ) 2 1

z x z x

F I F F

I I I

I

n n

σ σ σ σ

= ^ + + 

Therefore 2 2 1

p =

and n 3 = cos ( 8 π^ ) 0 + sin ( π 8 ) 1 = 22 + 21 0 + 22 − 211.

*Recall that any 2x2 matrix M can be decomposed by the Pauli matrices:

M = m I 0 + mx σ x + m y σ y + mz σ z , where mk = ( 1/ 2) tr M ( σ k ) for k = x y z , , and

m 0 = ( 1/ 2) trM. (The vector m =( m x , my , mz )

 (^) is usually mapped to the Bloch sphere as

mz = cosθ, mx = sin θ cosφ and my = sin θ sinφ.) Therefore we write 1 1 = ( I − σ z )/ 2,

and − − = ( 1 − σ x )/ 2.

(b) Given 1/ 2 1/ 2 1 2 3 3

u a u b u p n c

 +^   + 

the constraint 1 2 2 1 2 1 j j 2 1 2 1 u u = ⇒ a = b = − =

and 2 2 1 2 1

c = −

. So we

write a ɶ = a / a , b ɶ^ = b / b and c ɶ = c / c , and u ɶ 1 ≡ u 1 (^) / a and so on

1 2 1/ 4^1 2 ,^2 2 1/ 4^2 ,^3 23 2.

u ≡ + a u ≡ − + b un + c

University of Illinois at Urbana-Champaign last updated 14 April 2007

1 2

1 3 1/ 4^ *^ *

2 3 1/ 4^ *^ *

u u a b a b

u u a c a c

u u b c b c

⇒ ^ − + = ⇒ =

⇒ ^ − + = ⇒ = −

− ^ 

ɶ ɶ ɶ ɶ^ ɶ ɶ

ɶ ɶ ɶ^ ɶ ɶ ɶ

where − n 3 = ( 1/ 2 )( 22 + 21 − 22 − 21 ). The solution is a ɶ^ = 1 , b ɶ^ = 1 and c ɶ^ = − 1 and

hence

(^1) & 2 1. 2 1 2 1

a = b = c = − −

(c) By the suggested substitutions, we have

1/ 2 (^1 1 2 1 ) 1/ 2 (^2 1 2 1 )

(^3 3 1 2 1 ) (^4 1 )

u a

u b

u p n c u

Note that u 4 is orthogonal to all other states. The POVM is implemented by

constructing the measurement operator as M = n 1 (^) n 1 (^) + n 2 (^) n 2 (^) + n 3 (^) n 3 (^) + n 4 (^) n 4

and initializing the second qubit as 0 2. In this way, the process of measurement is

represented by

1 1 2 2 3 3 1 2 3

n n n n n n Tr F Tr F Tr F

ρ ρ ρ ρ ρ ρ ρ