Quantum detector tomography of high-dimensional multiplexed superconducting detectors

Schapeler, Timon; Höpker, Jan Philipp; Bartley, Tim J.

doi:10.1364/cleo_qels.2021.fw2p.5

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Compressive Quantum Detector Tomography1

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2021

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“…[68][69][70][71][72][73][74][75][76] We caution the varied notions of QDT, which include the estimation of certain physical parameters (such as the quantum efficiency and dark-count rate) describing the given quantum-measurement set, 77 or the calibration of commuting outcomes. 11,[78][79][80][81] In this section, we consider the most general (C)QDT of a set of M positive outcomes {Π j } that are mutually noncommutative. Standard QDT without any compressive elements clearly requires O(d 2 ) mutually linearly-independent input states to characterize the POVM.…”

Section: Compressive Quantum Detector Tomographymentioning

confidence: 99%

Modern compressive tomography for quantum information science

Teo,

Sanchez-Soto

2021

Preprint

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This review serves as a concise introductory survey of modern compressive tomography developed since 2019. These are schemes meant for characterizing arbitrary low-rank quantum objects, be it an unknown state, a process or detector, using minimal measuring resources (hence compressive) without any a priori assumptions (rank, sparsity, eigenbasis, etc.) about the quantum object. This article contains a reasonable amount of technical details for the quantum-information community to start applying the methods discussed here. To facilitate the understanding of formulation logic and physics of compressive tomography, the theoretical concepts and important numerical results (both new and cross-referenced) shall be presented in a pedagogical manner.

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