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
Authors
- Haechan An (ORCID: https://orcid.org/0000-0002-9222-1761)
- Zongfeng Li (ORCID: https://orcid.org/0000-0002-1530-6673)
- Mahdi Hosseini (ORCID: https://orcid.org/0000-0003-3109-6650)
- Yisheng Lei
Institutions
- Northwestern University (US)
- Purdue University West Lafayette (US)
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
Funders
- National Science Foundation
- U.S. Department of Energy
- Office of Science