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Quantum Information Theory with Gaussian Systems

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2 Basics of <strong>Gaussian</strong> systems<br />

For a proof of this theorem, see e.g. [6]. An extended discussion of Fourier transforms<br />

between operators and functions can be found in [8]. A useful application of the<br />

Parseval relation (2.11) is the computation of the overlap |〈ψ|φ〉| 2 between pure<br />

states |ψ〉 and |φ〉:<br />

<br />

<br />

〈ψ|φ〉 2 −f<br />

= tr |ψ〉〈ψ| |φ〉〈φ| = (2π) d 2f ξ χψ(ξ) χφ(ξ),<br />

where χψ and χφ denote the characteristic functions of the two states.<br />

The relations (2.10) connect properties of the density operator ρ <strong>with</strong> those of the<br />

characteristic function χρ:<br />

⊲ Boundedness: χρ(ξ) ≤ ρ1.<br />

⊲ Normalization: tr[ρ] = tr[ρ W0] = 1 ⇐⇒ χρ(0) = 1.<br />

⊲ Purity: χρ(ξ) corresponds to a pure state4 if and only if ρ2 = ρ or tr[ρ2 ] = 1<br />

and hence if <br />

d<br />

Ξ<br />

2f ξ χρ(ξ) 2 = (2π) f . (2.12)<br />

⊲ Symmetry: Since ρ is hermitian, χρ(ξ) = χρ(−ξ).<br />

⊲ Continuity: χ(ξ) is continuous if and only if it corresponds to a normal state,<br />

i.e. to a state which can be described by a density matrix.<br />

A given function χ(ξ) is the characteristic function of a quantum state if and<br />

only if it obeys a quantum version of the Bochner-Khinchin criterion [6]: χ(ξ) has<br />

to be normalized to χ(0) = 1, continuous at ξ = 0 and σ-positive definite, i.e.<br />

for any number n ∈Æof phase space vectors ξ1, ξ2, . . .,ξn ∈ Ξ and coefficients<br />

c1, c2, . . .,cn ∈it has to fulfill<br />

Ξ<br />

n<br />

ck cl χ(ξk − ξl) exp iσ(ξk, ξl)/2 ≥ 0 . (2.13)<br />

k,l=1<br />

The characteristic function in (2.10b) can be taken as the classical Fourier transform<br />

of a function. With this interpretation, the result of a classical inverse Fourier<br />

4 A density matrix ρ corresponds to a pure state if and only if ρ2 = ρ, i.e. if ρ is a projector; due<br />

to the normalization tr[ρ] = 1, this projector is of rank one, ρ = |ψ〉〈ψ|. If the state is not pure,<br />

it is mixed and can be written as a convex combination of pure states |ψi〉〈ψi|:<br />

ρ = P<br />

iλi |ψi〉〈ψi|, where λi ≥ 0 and P<br />

iλi = 1 .<br />

14<br />

For continuous-variable states, this convex combination might be continuous, i.e. an integral<br />

over a classical probability density λ(z):<br />

Z<br />

Z<br />

ρ = dz λ(z) |ψz〉〈ψz|, where λ(z) ≥ 0 and dz λ(z) = 1 .

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