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Quantum Computers Final Exam Solution

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Quantum Computers Final Exam Solution

1. Define dµ = p(θ, φ)dθdφ = 1 sin θdθdφ.

(a) For |ψ(θ, φ)i and |ϕ(θ0, φ0)i, hF i =

ZZ

|hψ(θ, φ)|ϕ(θ0, φ0)i|2dµdµ0

=

ZZ

cosθ

2h0| + e−iφsinθ 2h1|

!

cosθ0

2|0i + e−iφ0sinθ0 2|1i

!

2

dµdµ0

= 1

16π2

Z 0

Z π 0

Z 0

Z π 0

cos2 θ

2cos2θ0

2 + 2 cos(φ0− φ) sinθ 2cosθ

2sinθ0 2 cosθ0

2 + sin2 θ

2sin2 θ0 2

!

sin θ sin θ0dθdφdθ00

= 1 4

Z π

0

Z π

0

cos2 θ

2cos2θ0

2 + sin2 θ

2sin2 θ0 2

!

sin θ sin θ0dθdθ0

= 1 4

Z π

0

cos2 θ

2sin θdθ

!2

+

Z π 0

sin2 θ

2sin θdθ

!2

= 1 2.

Or, using density operators ρ(θ, φ) and ρ(θ0, φ0), hF i =

ZZ

tr (ρ(θ, φ)ρ(θ0, φ0)) dµdµ0

=

ZZ

tr

1

2(I + sin θ cos φσ1+ sin θ sin φσ2 + cos θσ3) 1

2(I + sin θ0cos φ0σ1+ sin θ0sin φ0σ2+ cos θ0σ3)



dµdµ0

= 1

16

Z π 0

Z π 0

tr ((I + cos θσ3)(I + cos θ0σ3)) sin θ sin θ0dθdθ0

= 1 8

Z π 0

Z π 0

(1 + cos θ cos θ0) sin θ sin θ0dθdθ0

= 1 8

Z π

0

sin θdθ

2

= 1 2.

In the third equality terms involving cos φ, sin φ, cos φ0, or sin φ0 vanish after integration. Also note that tr (σ3) = 0 and σ3σ3 = I.

(2)

Notice that the chosen |ψi and |ϕi is independent, hence hρψρϕi = hρψi hρϕi, that is, we can consider the two states separately. Since the probability of ρ(θ, φ) is p(θ, φ), we have

ψi = 1 4π

ZZ 1

2(I + sin θ cos φσ1+ sin θ sin φσ2+ cos θσ3) sin θdθdφ

= 1

4

Z π 0

(I + cos θσ3) sin θdθ

= 1

2I.

So

hF i = tr

1 2I1

2I



= 1 2. (b)

hF i =

ZZ

tr (ρψρ) 1

4πsin θdθdφ

= 1

Z 0

Z π 0

|hψ|0i|4+ |hψ|1i|4sin θdθdφ

= 1

Z 0

Z π 0

cos4 θ

2 + sin4 θ 2

!

sin θdθdφ

= 1 2

Z π 0

cos4 θ

2+ sin4 θ 2

!

sin θdθ

= 1 2

Z π 0

1 2 +1

2cos2θ



sin θdθ

= 2 3.

(c) The difference represents the information gained by making a mea- surement in terms of fidelity.

2. The state after rearrangement is

|ΦiAB = 1 2√

2|00i +

√3 2√

2|01i +

√3 2√

2|10i + 1 2√

2|11i, (a)

ρA= ρB = 1

2|0ih0|+

√3

4 |0ih1|+

√3

4 |1ih0|+1

2|1ih1| =

1 2

3

4 3 4

1 2

!

.

(3)

(b) The eigenvalues are λ+ = 12 +

3

4 and λ = 12

3

4 , with corre- sponding eigenstates | ↑xi ≡ 1

2(|0i+|1i) and | ↓xi ≡ 1

2(|0i−|1i).

(c)

|ΦiAB =qλ+| ↑xiA| ↑xiB+qλ| ↓xiA| ↓xiB.

3. (a) ρ0A= a (1 − p)b (1 − p)c d

!

.

(b) a 0 0 d

!

.

(c) ~p0 = ((1 − p)p1, (1 − p)p2, p3).

(d) (0, 0, p3).

4. (a)

U|ϕ1iA|βiB= |ϕ1iA1iB U|ϕ2iA|βiB= |ϕ2iA2iB

, since U is unitary, we have

(A1|Bhβ|) (|ϕ2iA|βiB) = (A1|B1|) (|ϕ2iA2iB)

A12iA =A12iAB12iB

⇒ 1 =B12iB

because A12iA6= 0. That is, |β1iB = |β2iB.

(b) With A12iA = 0, there is no restriction on B12iB. This reflects the fact that orthogonal states can be distinguished with perfect accuracy.

5. (a)

perror = p1tr (ρ1E2) + p2tr (ρ2E1)

= tr (p1ρ1(I − E1) + p2ρ2E1)

= tr (p1ρ1+ (p2ρ2− p1ρ1)E1)

= tr (p1ρ1) + tr ((p2ρ2− p1ρ1)E1)

= p1+ tr X

i

λi|iihi|E1

!

= p1+X

i

λihi|E1|ii

(4)

(b)

E1 = X

i:λi<0

|iihi|.

(c) p2− p1 = 1 − 2p1 =Piλi, so p1 = 1

2 − 1 2

X

i

λi.

(perror)optimal = p1+ X

i:λi<0

λi

= 1 2 − 1

2

X

i

λi+ X

i:λi<0

λi

= 1 2 − 1

2

X

i:λi>0

λi+1 2

X

i:λi<0

λi

= 1 2 − 1

2kp2ρ2− p1ρ1ktr.

6. (a) Since ρ is a density operator, all its eigenvalues λ0i > 0. Then p2ρ2− p1ρ1 = (p2− p1)ρ = (p2− p1)X

i

λ0i|iihi| =X

i

λi|iihi|.

So λi = (p2− p10i for all i.

When p2 ≥ p1, the λi’s are all non-negative, so (perror)optimal = p1. When p2 < p1, the λi’s are all negative, so

(perror)optimal = p1+X

i

λi = p1+ (p2− p1) = p2.

(b)

kp2ρ2− p1ρ1ktr = tr

h

(p2ρ2− p1ρ1)(p2ρ2− p1ρ1)i

1 2



= tr[(p2ρ2− p1ρ1)(p2ρ2 − p1ρ1)]12

= tr

h

(p22ρ22− p1ρ1p2ρ2− p2ρ2p1ρ1+ p21ρ21)i

1 2

= tr

h

(p22ρ22+ p21ρ21)i

1 2



(5)

= tr

h

(p22ρ22+ p1ρ1p2ρ2+ p2ρ2p1ρ1+ p21ρ21)i

1 2

= tr[(p2ρ2+ p1ρ1)(p2ρ2+ p1ρ1)]12

= tr (p2ρ2+ p1ρ1)

= p2+ p1

= 1 So we have

(perror)optimal = 1 2− 1

2kp2ρ2− p1ρ1ktr= 1 2− 1

2 = 0.

(c) When ρ1 = ρ2, there is no way to distinguish between the two, hence the best we can do is guess the one with the higher proba- bility, so

perror = min(p1, p2).

When ρ1 and ρ2 are orthogonal, they can be distinguished with no error, hence

perror = 0.

參考文獻

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