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Teo, Yong Siah and Sánchez Soto, Luis Lorenzo (2021) Modern compressive tomography for quantum information science. International journal of quantum information, 19 (8). ISSN 0219-7499
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Official URL: http://dx.doi.org/10.1142/S0219749921400037
Abstract
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 paper 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.
Item Type: | Article |
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Additional Information: | © 2021 World Scientific Publishing Company. |
Uncontrolled Keywords: | Signal recovery; Detector |
Subjects: | Sciences > Physics > Optics |
ID Code: | 69753 |
Deposited On: | 01 Feb 2022 19:13 |
Last Modified: | 01 Feb 2022 19:13 |
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