光子集成器件的自适应两相估计

M. Valeri, E. Polino, D. Poderini, N. Spagnolo, F. Sciarrino, I. Gianani, G. Corrielli, A. Crespi, R. Osellame
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引用次数: 0

摘要

在单光子注入的集成三臂干涉仪上,实验证明了有效的自适应多相估计。贝叶斯学习和顺序蒙特卡罗近似已被用作机器学习工具来实现这一目标。©2021作者
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Adaptive two-phase estimation on a photonic integrated device
: Efficient adaptive multiphase estimation has been demonstrated experimentally on an integrated three-arm interferometer injected by single photons. Bayesian learning and Sequential Monte Carlo approximation have been employed as machine learning tools to achieve this goal. © 2021 The Author(s)
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