Entanglement-Enhanced Physical-Layer Classifier Using Supervised Machine Learning

Quntao Zhuang; Quntao Zhuang; Zheshen Zhang; Zheshen Zhang

doi:10.1364/QUANTUM.2020.QTh6A.8

OSA Quantum 2.0 Conference
OSA Technical Digest (Optica Publishing Group, 2020),
paper QTh6A.8
•https://doi.org/10.1364/QUANTUM.2020.QTh6A.8

Entanglement-Enhanced Physical-Layer Classifier Using Supervised Machine Learning

Quntao Zhuang and Zheshen Zhang

Quantum 2.0 2020

Washington, DC United States
14–17 September 2020
ISBN: 978-1-943580-81-1

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Computing and Simulation IV (QTh6A)

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Q. Zhuang and Z. Zhang, "Entanglement-Enhanced Physical-Layer Classifier Using Supervised Machine Learning," in OSA Quantum 2.0 Conference, M. Raymer, C. Monroe, and R. Holzwarth, eds., OSA Technical Digest (Optica Publishing Group, 2020), paper QTh6A.8.

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Abstract

We introduce physical-layer classifiers enhanced by multipartite entanglement learned through a support-vector machine. The required entangled states are practical and give error probability advantage over classical schemes in presence of loss.

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