[Seminar] Machine-learning-assisted optimization of single-photon generation and storage in cavity-based system

Mr. Miao Cai, PhD Student of College of Engineering and Applied Sciences, Nanjing University

Abstract:

Single photons are at the heart of quantum information processing. The tasks of generating and storing single photons with arbitrary wave-packet shapes are crucial for building quantum networks. Here, we present a general machine learning (ML) algorithm with a self-adaptive process to optimize the control of a cavity-atom system for these tasks. Using this algorithm, we also develop an optimization scheme to enhance single-photon indistinguishability among cavity-based single-photon sources.

Biography:

Miao Cai is a PhD student in the College of Engineering and Applied Sciences at Nanjing University, working with Prof. Keyu Xia on machine learning for optimizing quantum controls and quantum state generation.

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