Definition

Let (Ω,Σ)(\Omega,\Sigma) be a measurable space and HH a complex . A positive operator-valued measure or POVM is a map

E:ΣB(H)E:\Sigma\longrightarrow B(H)

such that:

  1. E(A)E(A) is a for every AΣA\in\Sigma;
  2. E(Ω)=IHE(\Omega)=I_H;
  3. for every pairwise disjoint sequence (An)(A_n) in Σ\Sigma,
    x,E ⁣(nAn)y=nx,E(An)y(x,yH).\left\langle x,E\!\left(\bigcup_nA_n\right)y\right\rangle = \sum_n\langle x,E(A_n)y\rangle \qquad(x,y\in H).

The third condition is countable additivity in the weak operator topology.

Born rule

For a ρ\rho, the scalar measure

Pρ(A)=Tr(ρE(A))\mathbb P_\rho(A)=\operatorname{Tr}(\rho E(A))

is the probability distribution of the measurement outcome.

Discrete outcomes

For a finite or countable outcome set II, a POVM is equivalently a family of positive operators (Ei)iI(E_i)_{i\in I} satisfying

iIEi=IH\sum_{i\in I}E_i=I_H

in the weak operator topology. Then Pρ({i})=Tr(ρEi)\mathbb P_\rho(\{i\})=\operatorname{Tr}(\rho E_i).

Projection-valued measures

A POVM is a projection-valued measure when every E(A)E(A) is an orthogonal projection; equivalently,

E(AB)=E(A)E(B).E(A\cap B)=E(A)E(B).

General POVM effects need not be projections or mutually orthogonal.