Pretty good measurement for bosonic Gaussian ensembles
Hemant K. Mishra, Ludovico Lami, Prabha Mandayam, and Mark M. Wilde

TL;DR
This paper provides an explicit, efficiently computable Gaussian description of the pretty good measurement for bosonic Gaussian ensembles, with applications in quantum information processing and experimental implementation.
Contribution
It offers an alternative proof of Gaussianity for the pretty good measurement and introduces a Gaussian description of the measurement and instrument, including error analysis.
Findings
Explicit Gaussian form of the pretty good measurement derived
Post-measurement state remains Gaussian under certain conditions
Measurement can be practically implemented in quantum optics labs
Abstract
The pretty good measurement is a fundamental analytical tool in quantum information theory, giving a method for inferring the classical label that identifies a quantum state chosen probabilistically from an ensemble. Identifying and constructing the pretty good measurement for the class of bosonic Gaussian states is of immediate practical relevance in quantum information processing tasks. Holevo recently showed that the pretty good measurement for a bosonic Gaussian ensemble is a bosonic Gaussian measurement that attains the accessible information of the ensemble (IEEE Trans. Inf. Theory, 66(9):5634-564, 2020). In this paper, we provide an alternate proof of Gaussianity of the pretty good measurement for a Gaussian ensemble of multimode bosonic states, with a focus on establishing an explicit and efficiently computable Gaussian description of the measurement. We also compute an explicit…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Mechanics and Applications · Cold Atom Physics and Bose-Einstein Condensates
