Machine-Learning-Enhanced Quantum Optical Storage in Solids
Fuente:
arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866910399861882880 |
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| author | Lei, Yisheng An, Haechan Li, Zongfeng Hosseini, Mahdi |
| author_facet | Lei, Yisheng An, Haechan Li, Zongfeng Hosseini, Mahdi |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_04200 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Machine-Learning-Enhanced Quantum Optical Storage in Solids Lei, Yisheng An, Haechan Li, Zongfeng Hosseini, Mahdi Quantum Physics 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. |
| title | Machine-Learning-Enhanced Quantum Optical Storage in Solids |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2404.04200 |