利用机器学习和单光子扩展梯度回声记忆

Anthony C. K. Leung, Aaron D Tranter, Karun V. Paul, J. Everett, P. Vernaz-Gris, D. Higginbottom, G. Campbell, P. Lam, B. Buchler
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引用次数: 0

摘要

梯度回声存储器是迄今为止最有效的量子存储器协议。最近增加的机器学习和兼容的单光子可以提高它的性能,并有可能将其用作量子门。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extending Gradient Echo Memory Using Machine Learning and Single Photons
Gradient echo memory is the most efficient quantum memory protocol to date. Recent additions of machine learning and compatible single photons can raise its performance and the possibility of using it as a quantum gate.
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