Supervised Learning by Chiral-Network-Based Photonic Quantum Computing

• URL: http://arxiv.org/abs/2108.13213v2
• Date: Thu, 31 Mar 2022 10:53:40 GMT
• Title: Supervised Learning by Chiral-Network-Based Photonic Quantum Computing
• Authors: Wei-Bin Yan, Ying-Jie Zhang, Zhong-Xiao Man, Heng Fan, and Yun-Jie Xia
• Abstract summary: We propose a novel potential photonic-quantum-computation scheme to perform the supervised learning tasks. The gates for photonic quantum computation are realized by properly designed atom-photon-chiral couplings.
• Score: 10.22241944875554
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Benefiting from the excellent control of single photons realized by the emitter-photon-chiral couplings, we propose a novel potential photonic-quantum-computation scheme to perform the supervised learning tasks. The gates for photonic quantum computation are realized by properly designed atom-photon-chiral couplings. The quantum algorithm of supervised learning, composed by integrating the realized gates, is implemented by the tunable gate parameters. The learning ability is demonstrated by numerically simulating the performance of regression and classification tasks.

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