Machine-Learning-Enhanced Quantum Optical Storage in Solids
- URL: http://arxiv.org/abs/2404.04200v1
- Date: Fri, 5 Apr 2024 16:14:54 GMT
- Title: Machine-Learning-Enhanced Quantum Optical Storage in Solids
- Authors: Yisheng Lei, Haechan An, Zongfeng Li, Mahdi Hosseini,
- Abstract summary: Solid-state quantum memories can provide broadband storage, but they primarily suffer from low storage efficiency.
We use passive optimization and machine learning techniques to demonstrate nearly a 6-fold enhancement in quantum memory efficiency.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Quantum memory devices with high storage efficiency and bandwidth are essential elements for future quantum networks. Solid-state quantum memories can provide broadband storage, but they primarily suffer from low storage efficiency. We use passive optimization and machine learning techniques to demonstrate nearly a 6-fold enhancement in quantum memory efficiency. In this regime, we demonstrate coherent and single-photon-level storage with a high signal-to-noise ratio. The optimization technique presented here can be applied to most solid-state quantum memories to significantly improve the storage efficiency without compromising the memory bandwidth.
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