Analytical Bounds for Dynamic Multi-Channel Discrimination

• URL: http://arxiv.org/abs/2101.10694v3
• Date: Mon, 6 Sep 2021 11:30:35 GMT
• Title: Analytical Bounds for Dynamic Multi-Channel Discrimination
• Authors: Cillian Harney, Stefano Pirandola
• Abstract summary: Optimal discrimination protocols often rely on entanglement shared between an incident probe and a protected idler-mode. In this work, we investigate idler-free block protocols based on the use of multipartite entangled probe states. We derive new, analytical bounds for the average error probability of such protocols in a bosonic Gaussian channel setting.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

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