Fidelity

== Quantum Fidelity ==

Fidelity is a popular measure of distance between density operators. It is not a metric, but has some useful properties and it can be used to defined a metric on this space of density matrices, known as Bures metric.

Fidelity as a distance measure between pure states used to be called "transition probability". For two states given by unit vectors ϕ, ψ it is |⟨ϕ, ψ⟩|2. For a pure state (vector ψ) and a mixed state (density matrix ρ) this generalizes to ψ, ρψ, and for two density matrices ρ, σ it is generalized as the largest fidelity between any two purifications of the given states. According to a theorem by Uhlmann, this leads to the expression

F(ρ,σ)=(trρσρ)2 This is precisely the expression used by Richard Jozsa inJozsa94, where the term fidelity appears to have been used first.

However, one can also start from |⟨ϕ, ψ⟩|, leading to the alternative

F(ρ,σ)=trρσρ

used inNielsenChuang. This second quantity is sometimes denoted as F and called square root fidelity. It has no interpretation as a probability, but appears in some estimates in a simpler way.

Basic properties

If ρ = |ψ⟩⟨ψ| is pure, then F(ρ, σ) = ⟨ψ|σ|ψ and if both states are pure i.e. ρ = |ψ⟩⟨ψ| and σ = |ϕ⟩⟨ϕ|, then F(ρ, σ) = |⟨ψ|ϕ⟩|2.

Other properties:

  1. 0 ≤ F(ρ, σ) ≤ 1
  2. F(ρ, σ) = F(σ, ρ) 
  3. F(ρ1 ⊗ ρ2, σ1 ⊗ σ2) = F(ρ1, σ1)F(ρ2, σ2)
  4. F(UρU, UσU) = F(ρ, σ)
  5. F(ρ, ασ1 + (1 − α)σ2) ≥ αF(ρ, σ1) + (1 − α)F(ρ, σ2), α ∈ [0, 1]

Bures distance

Fidelity can be used to define metric on the set of quantum states, so called Bures distancefuchs96phd DB

DB(ρ,σ)=22F(ρ,σ)

and the angleNielsenChuang

DA(ρ,σ)=arccosF(ρ,σ).

The quantity DB(ρ, σ) is the minimal distance between purifications of ρ and σ using a common environment.

Classical fidelity

Fidelity is also defined for classical probability distributions. Let {pi} and {qi} where i = 1, 2, ..., n be probability distributions. The fidelity between p and q is defined as F({pi},{qi})=ni=1pi,qi.

References

See also

Category:Handbook of Quantum Information Category:Mathematical Structure Category:Linear Algebra

Last modified: 

Monday, October 26, 2015 - 17:56