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Positive operator-valued measure (POVM)

by Yee Wei Law - Sunday, 24 December 2023, 11:35 AM
 

The positive operator-valued measure (POVM) is a mathematical formalism/tool representing a measurement operation [NC10, Sec. 2.2.6; WN17, Sec. 1.5.1] that satisfies Postulate 3.

Suppose a measurement described by measurement operators , where takes value from a finite set, is performed on a quantum system in the state , then the probability of outcome is given by

Suppose we define

then satisfies 1️⃣ the completeness relation and 2️⃣ is positive-semidefinite.

  • The general equality for some density matrix is known as the POVM version of the Born rule.
  • The operators are called the POVM elements associated with the measurement.
  • The complete set is known as a POVM.
Example 1 [NC10, p. 92]

Suppose Alice gives Bob a qubit prepared in one of two states:

Here is a measurement strategy for Bob to determine unequivocally whether he receives or . Define:

Clearly satisfy the completeness relation, and by checking the definition of positive semidefiniteness, we can verify to be positive operators, so form a POVM.

Let us now see how Bob can use to distinquish between and :

  • Since whereas , getting a measurement outcome associated with implies Bob must have received .
  • Since whereas , getting a measurement outcome associated with implies Bob must have received .
  • Receiving a measurement outcome associated with however precludes Bob from inferring anything about the identity of the state he receives.

Using , Bob never mistakes for and vice versa, but Bob sometimes cannot determine which state he receives.

Example 2 [WN17, Example 1.5.1]

Denote by an orthonormal basis.

Define (a projector), and , then for each ,

where is a matrix with the basis vectors as columns. The linear independence of the basis vectors implies is nonsingular, and

In other words, satisfies the completeness relation.

Given a quantum state , we should expect , and indeed

At this point, we can call a POVM.

When the POVM elements are projectors, such as in the preceding example, the POVM is called a projection-valued measure (PVM) [Hay17, p. 7].

Watch edX Lecture 1.6 “Generalized measurements” of Quantum Cryptography by CaltechDelftX QuCryptox.

References

[Hay17] M. Hayashi, Quantum Information Theory: Mathematical Foundation, second ed., Springer Berlin, Heidelberg, 2017. https://doi.org/10.1007/978-3-662-49725-8.
[KLM07] P. Kaye, R. Laflamme, and M. Mosca, An Introduction to Quantum Computing, Oxford University Press, 2007. Available at https://ebookcentral.proquest.com/lib/unisa/reader.action?docID=415080.
[NC10] M. A. Nielsen and I. L. Chuang, Quantum computation and quantum information, 10th anniversary ed., Cambridge University Press, 2010. Available at http://mmrc.amss.cas.cn/tlb/201702/W020170224608149940643.pdf.
[Qis21] Qiskit, The density matrix and mixed states, Qiskit textbook, June 2021. Available at https://learn.qiskit.org/course/quantum-hardware/density-matrix.
[WN17] S. Wehner and N. Ng, Lecture Notes: edX Quantum Cryptography, CaltechDelftX: QuCryptox, 2017. Available at https://courses.edx.org/courses/course-v1:CaltechDelftX+QuCryptox+3T2018/pdfbook/0/.

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