== 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)=(tr√√ρσ√ρ)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)=tr√√ρσ√ρ
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:
- 0 ≤ F(ρ, σ) ≤ 1
- F(ρ, σ) = F(σ, ρ)
- F(ρ1 ⊗ ρ2, σ1 ⊗ σ2) = F(ρ1, σ1)F(ρ2, σ2)
- F(UρU†, UσU†) = F(ρ, σ)
- 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)=√2−2√F(ρ,σ)
and the angleNielsenChuang
DA(ρ,σ)=arccos√F(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=1√pi,qi.
References
See also
Category:Handbook of Quantum Information Category:Mathematical Structure Category:Linear Algebra