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Tradeoff between energy and error in the discrimination of quantum-optical devices

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TLDR
An analytical derivation of the optimal strategy for beamsplitters and an iterative algorithm converging to the optimum in the general case are provided and a simpler strategy using coherent input states and homodyne detection is compared.
Abstract
We address the problem of energy-error tradeoff in the discrimination between two linear passive quantum optical devices with a single use. We provide an analytical derivation of the optimal strategy for beamsplitters and an iterative algorithm converging to the optimum in the general case. We then compare the optimal strategy with a simpler strategy using coherent input states and homodyne detection. It turns out that the former requires much less energy in order to achieve the same performances.

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Gaussian quantum information

TL;DR: This review focuses on continuous-variable quantum information processes that rely on any combination of Gaussian states, Gaussian operations, and Gaussian measurements, including quantum communication, quantum cryptography, quantum computation, quantum teleportation, and quantum state and channel discrimination.

Gaussian quantum information

TL;DR: In this article, a review of the state of the art in continuous-variable quantum information processing can be found, ranging from the basic theoretical tools and landmark experimental realizations to the most recent successful developments.
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Advances in photonic quantum sensing

TL;DR: The theoretical and experimental developments of quantum reading of classical data, quantum illumination of targets, and optical resolution beyond the Rayleigh limit are described.
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Quantum Fidelity for Arbitrary Gaussian States.

TL;DR: This work derives a computable analytical formula for the quantum fidelity between two arbitrary multimode Gaussian states which is simply expressed in terms of their first- and second-order statistical moments.
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Advances in Photonic Quantum Sensing

TL;DR: In this paper, the basic tools behind quantum sensing are discussed, and the most recent and general formulations for the problems of quantum parameter estimation and hypothesis testing are discussed for the photonic regime.
References
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Book

Mathematical Methods for Physicists

TL;DR: In this article, the authors present a model for vector analysis based on the Calculus of Variations and the Sturm-Liouville theory, which includes the following: Curved Coordinates, Tensors.
Book

Quantum detection and estimation theory

TL;DR: In this article, the optimum procedure for choosing between two hypotheses, and an approximate procedure valid at small signal-to-noise ratios and called threshold detection, are presented, and a quantum counterpart of the Cramer-Rao inequality of conventional statistics sets a lower bound to the mean-square errors of such estimates.
Journal ArticleDOI

Review of 'Quantum Detection and Estimation Theory' (Helstrom, C. W.; 1976)

TL;DR: This volume contains advanced materials of queueing theory plus three application chapters, and gives a comprehensive account of the diffusion process approximation and heavy traffic theory as applied to queueing systems.
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