Algorithmic optimization of quantum optical storage in solids

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 algorithmic optimization techniques to demonstrate nearly a sixfold 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. Published by the American Physical Society 2024

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Publication Details

Journal
Physical Review Research
Published
2024-08-09
DOI
https://doi.org/10.1103/physrevresearch.6.033153
Citations
3
Primary Topic
Quantum Information and Cryptography
Type
article
Field-Weighted Citation Impact
1.04

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article

Algorithmic optimization of quantum optical storage in solids

Haechan An, Zongfeng Li, Mahdi Hosseini, Yisheng Lei
3 citations
Physical Review Research
Quantum Information and Cryptography
1.04
article

Algorithmic optimization of quantum optical storage in solids

Haechan An, Zongfeng Li, Mahdi Hosseini, Yisheng Lei
article en
3 citations

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 algorithmic optimization techniques to demonstrate nearly a sixfold 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. Published by the American Physical Society 2024

Physical Review ResearchVol. 6(3)
Northwestern University (US), Purdue University West Lafayette (US)
National Science Foundation, U.S. Department of Energy, Office of Science
Affordable and clean energy
Openalex Percentile: Top 20%
Quantum Information and Cryptography
1.04
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