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Quantum Machine Learning

Energetic Considerations in Quantum Target Ranging

arXiv

Authors: Athena Karsa, Stefano Pirandola

Year

2020

Paper ID

19500

Status

Preprint

Abstract Read

~2 min

Abstract Words

107

Citations

N/A

Abstract

While quantum illumination (QI) can offer a quantum-enhancement in target detection, its potential for performing target ranging remains unclear. With its capabilities hinging on a joint-measurement between a returning signal and its retained idler, an unknown return time makes a QI-based protocol difficult to realise. This paper outlines a potential QI-based approach to quantum target ranging based on recent developments in multiple quantum hypothesis testing and quantum-enhanced channel position finding (CPF). Applying CPF to time bins, one finds an upper-bound on the error probability for quantum target ranging. However, using energetic considerations, we show that for such a scheme a quantum advantage may not physically be realised.

Why This Paper Matters

This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
It adds a 2020 reference point for readers tracking recent quantum research.
While quantum illumination (QI) can offer a quantum-enhancement in target detection, its potential for performing target ranging remains unclear.

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References & Citation Signals

[1] DOI https://doi.org/arXiv:2011.03637 [2] arXiv https://arxiv.org/abs/2011.03637 [3] Publisher https://arxiv.org/abs/2011.03637

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