Math 2.0

Quantum theory Definition

Fidelity of quantum states

Builds on Density matrixSquare root of a positive operatorTrace of a matrix

Definition

Let HH be a finite-dimensional complex Hilbert space, and let ρ\rho and σ\sigma be density operators on HH. The fidelity of ρ\rho and σ\sigma is F(ρ,σ)=(tr⁡ρ σρ)2,F(\rho, \sigma) = \left( \tr \sqrt{\sqrt{\rho}\, \sigma \sqrt{\rho}} \right)^2, where A\sqrt{A} is the square root of a positive operator AA and tr⁡\tr is the trace.

Remarks

Example: let ρ=∣ψ⟩⟨ψ∣\rho = \lvert \psi \rangle\langle \psi \rvert be pure. Then ρ=ρ\sqrt\rho = \rho and ρ σρ=⟨ψ∣σ∣ψ⟩ ρ\sqrt\rho\, \sigma \sqrt\rho = \langle \psi \rvert\sigma\lvert \psi \rangle\, \rho, so F(ρ,σ)=⟨ψ∣σ∣ψ⟩F(\rho, \sigma) = \langle \psi \rvert\sigma\lvert \psi \rangle. If σ=∣ϕ⟩⟨ϕ∣\sigma = \lvert \phi \rangle\langle \phi \rvert is pure too, then F=∣⟨ψ,ϕ⟩∣2F = \abs{\ip{\psi}{\phi}}^2.

Non-example: the overlap tr⁡(ρσ)\tr(\rho\sigma) is not the fidelity for mixed states. For ρ=σ=I/2\rho = \sigma = I/2 on ℂ2\C^2, tr⁡(ρσ)=1/2\tr(\rho\sigma) = 1/2, while F(ρ,σ)=(tr⁡(I/2))2=1F(\rho, \sigma) = (\tr (I/2))^2 = 1.

Standard properties: 0≤F(ρ,σ)≤10 \le F(\rho, \sigma) \le 1; F(ρ,σ)=1F(\rho, \sigma) = 1 if and only if ρ=σ\rho = \sigma; F(ρ,σ)=F(σ,ρ)F(\rho, \sigma) = F(\sigma, \rho). Equivalently F(ρ,σ)=∥ρσ∥12F(\rho, \sigma) = \norm{\sqrt\rho \sqrt\sigma}_1^2, where ∥A∥1=tr⁡A∗A\norm{A}_1 = \tr\sqrt{A^* A} is the trace norm. Some authors call the square root F\sqrt{F} the fidelity, so the convention must be checked.

Reading path

To understand this page from the ground up, read these 4 pages in order. The foundations come first.

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  1. Density matrix concept
  2. Square root of a positive operator concept
  3. Trace of a matrix concept
  4. Fidelity of quantum states definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Fidelity_of_quantum_states
About this page
Tag4THA6F9HFN
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Kinddefinition
WritingW0 stub
MSC81P47, 81P16
DefinesFidelity of quantum states
UsesDensity matrix, Square root of a positive operator, Trace of a matrix
Changed3 November 2026

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