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QuantumInfo.Finite.POVM

Positive Operator-Valued Measures

A Positive Operator-Valued Measures, or POVM, is the most general notion of a quantum "measurement": a collection of positive semidefinite (PSD) operators that sum to the identity. These induce a distribution, `POVM.measure`, of measurement outcomes; and they induce a CPTP map, `POVM.measurement_map`, which changes the state but adds learned information.

Developing this theory is important if one wants to discuss classical information across quantum channels, as POVMs are the route to get back to classical information (a `ProbDistribution` of outcomes).

TODO: They can also evolve under CPTP maps themselves (the Heisenberg picture of quantum evolution), they might commute with each other or not, they might be projective or not.

8 declarations

definition

Quantum-classical CPTP measurement map MΛ\mathcal{M}_\Lambda of a POVM

Given a Positive Operator-Valued Measure (POVM) Λ\Lambda consisting of d×dd \times d positive semidefinite matrices MxM_x for xXx \in X, the measurement map MΛ\mathcal{M}_\Lambda is a completely positive trace-preserving (CPTP) map from the space of dd-dimensional quantum states to the space of (d×X)(d \times X)-dimensional quantum-classical states. For a density matrix ρ\rho, the map is defined as: MΛ(ρ)=xXMxρMxxx\mathcal{M}_\Lambda(\rho) = \sum_{x \in X} \sqrt{M_x} \rho \sqrt{M_x} \otimes |x \rangle \langle x| where Mx\sqrt{M_x} is the unique positive semidefinite square root of the operator MxM_x, and xx|x \rangle \langle x| (represented by `Matrix.single x x 1`) is the projector onto the classical outcome xx.

theorem

Formula for the Action of the POVM Measurement Map on a Matrix

Let Λ\Lambda be a Positive Operator-Valued Measure (POVM) over a finite outcome space XX and a Hilbert space of dimension dd, where Λ.mats(x)\Lambda.mats(x) denotes the positive semidefinite operator associated with outcome xXx \in X. For any matrix mMd(C)m \in M_d(\mathbb{C}), the application of the induced measurement map Λ.measurementMap\Lambda.measurementMap to mm is given by the sum: Λ.measurementMap(m)=xX(Λ.mats(x)mΛ.mats(x))(Ex,x) \Lambda.measurementMap(m) = \sum_{x \in X} \left( \sqrt{\Lambda.mats(x)} \cdot m \cdot \sqrt{\Lambda.mats(x)} \right) \otimes (E_{x,x}) where Λ.mats(x)\sqrt{\Lambda.mats(x)} is the unique positive semidefinite square root of the operator associated with outcome xx, and Ex,xE_{x,x} is the matrix with a 11 at position (x,x)(x, x) and 00 elsewhere. This map represents the transformation of the quantum state into a joint state of the system and a classical register storing the measurement outcome.

theorem

Action of POVM Measurement Map on Hermitian Matrices

Let Λ\Lambda be a Positive Operator-Valued Measure (POVM) indexed by XX on a Hilbert space of dimension dd, with effects Λx\Lambda_x. For any Hermitian matrix mHd(C)m \in \mathcal{H}_d(\mathbb{C}), the application of the associated measurement map EΛ\mathcal{E}_\Lambda to mm is given by EΛ(m)=xX[(Λx1/2mΛx1/2)diag(δxy)y]\mathcal{E}_\Lambda(m) = \sum_{x \in X} \left[ \left( \Lambda_x^{1/2} m \Lambda_x^{1/2} \right) \otimes \text{diag}(\delta_{xy})_y \right] where Λx1/2\Lambda_x^{1/2} denotes the unique positive semidefinite square root of the effect Λx\Lambda_x, and diag(δxy)y\text{diag}(\delta_{xy})_y is the diagonal Hermitian matrix whose only non-zero entry is a 11 at position (x,x)(x, x).

definition

Probability distribution of outcomes for a POVM Λ\Lambda given state ρ\rho

Given a Positive Operator-Valued Measure (POVM) Λ\Lambda with outcomes in XX and representing matrices Λx\Lambda_x for each xXx \in X, and a quantum mixed state ρ\rho (represented by a density matrix MρM_\rho), the probability of obtaining outcome xx is given by the Born rule: p(x)=Λx,Mρ=Tr(ΛxMρ) p(x) = \langle \Lambda_x, M_\rho \rangle = \text{Tr}(\Lambda_x^\dagger M_\rho) Since Λx\Lambda_x is positive semidefinite and xXΛx=I\sum_{x \in X} \Lambda_x = I, this defines a valid probability distribution over the set of outcomes XX.

theorem

Partial Trace over the Measurement Map Equals the Classical Outcome Distribution Tr1(EΛ(ρ))=ρclassical\text{Tr}_1(\mathcal{E}_{\Lambda}(\rho)) = \rho_{\text{classical}}

Let Λ\Lambda be a positive operator-valued measure (POVM) with outcomes in XX and acting on a quantum system dd. Let ρ\rho be a density matrix representing a mixed state in dd. The partial trace over the system dd of the state resulting from the quantum-classical measurement map, denoted Trd(EΛ(ρ))\text{Tr}_d(\mathcal{E}_{\Lambda}(\rho)), is equal to the diagonal density matrix representing the classical probability distribution of the measurement outcomes, ofClassical(measure(Λ,ρ))\text{ofClassical}(\text{measure}(\Lambda, \rho)).

definition

The measure-and-discard CPTP map of a POVM Λ\Lambda

Given a Positive Operator-Valued Measure (POVM) Λ\Lambda with outcomes in XX and acting on a Hilbert space of dimension dd, the map `measureDiscard` is defined as the composition of the measurement map with a partial trace over the system state. Specifically, let MΛ:L(Cd)L(CdCX)\mathcal{M}_\Lambda: \mathcal{L}(\mathbb{C}^d) \to \mathcal{L}(\mathbb{C}^d \otimes \mathbb{C}^{|X|}) be the CPTP map representing the measurement process. Then `measureDiscard` is the CPTP map TrdMΛ:L(Cd)L(CX)\text{Tr}_d \circ \mathcal{M}_\Lambda: \mathcal{L}(\mathbb{C}^d) \to \mathcal{L}(\mathbb{C}^{|X|}) which takes an input state ρ\rho, performs the measurement, discards the post-measurement quantum state, and retains only the diagonal mixed state representing the probability distribution of classical outcomes in XX.

theorem

The application of `measureDiscard` to a state ρ\rho equals the classical representation of its measurement distribution Λ.measure(ρ)\Lambda.\text{measure}(\rho)

Let Λ\Lambda be a Positive Operator-Valued Measure (POVM) with outcomes in XX for a quantum system with state space dd. For any quantum state ρ\rho, applying the discard-measurement map Λ.measureDiscard\Lambda.\text{measureDiscard} to ρ\rho results in a diagonal density matrix representing the classical probability distribution of the measurement outcomes. Specifically, Λ.measureDiscard(ρ)=ofClassical(Λ.measure(ρ))\Lambda.\text{measureDiscard}(\rho) = \text{ofClassical}(\Lambda.\text{measure}(\rho)), where Λ.measure(ρ)\Lambda.\text{measure}(\rho) is the distribution of outcomes induced by the POVM.

definition

The state-transformation CPTP map induced by a POVM Λ\Lambda after discarding measurement outcomes

For a Positive Operator-Valued Measure (POVM) Λ\Lambda with outcomes in XX and acting on a Hilbert space of dimension dd, the map Λ.measureForget\Lambda.\text{measureForget} is a Completely Positive Trace-Preserving (CPTP) map from the space of states of dimension dd to itself. It is defined as the composition of the measurement map Λ.measurementMap\Lambda.\text{measurementMap} (which maps a state to a joint state of the system and the classical outcome) and the partial trace TrX\text{Tr}_X over the outcome space. Physically, this represents the process of performing the measurement Λ\Lambda on a quantum state and discarding the resulting outcome, thereby retaining only the post-measurement state.