Harney, Cillian and Pirandola, Stefano orcid.org/0000-0001-6165-5615 (2021) Analytical Bounds for Dynamic Multi-Channel Discrimination. Physical Review A. 032402. ISSN 1094-1622
Abstract
The ability to precisely discriminate multiple quantum channels is fundamental to achieving quantum enhancements in data-readout, target detection, pattern recognition, and more. Optimal discrimination protocols often rely on entanglement shared between an incident probe and a protected idler-mode. While these protocols can be highly advantageous over classical ones, the storage of idler-modes is extremely challenging in practice. In this work, we investigate idler-free block protocols based on the use of multipartite entangled probe states. In particular, we focus on a class of idler-free protocol which uses non-disjoint distributions of multipartite probe states irradiated over multi-channels, known as dynamic discrimination protocols. We derive new, analytical bounds for the average error probability of such protocols in a bosonic Gaussian channel setting, revealing idler-free strategies that display performance close to idler-assistance for powerful, near-term quantum sensing applications.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | ©2021 American Physical Society. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details. 22 pages, 5 figures. Revised and expanded presentation |
Keywords: | quant-ph,eess.SP,physics.optics |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 03 Aug 2021 10:20 |
Last Modified: | 16 Oct 2024 17:44 |
Published Version: | https://doi.org/10.1103/PhysRevA.104.032402 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1103/PhysRevA.104.032402 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:176754 |