Algorithmic optimization of quantum optical storage in solids

doi:10.1103/PhysRevResearch.6.033153

2024-08-09

Haechan An

Zongfeng Li

Mahdi Hosseini *

DOI：10.1103/PhysRevResearch.6.033153

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摘要

En 中文

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 singlephoton-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.

期刊

Physical Review Research

IF:

4.2

论文数:

7.6K

被引数:

2.7W

机构

Northwestern University

学者数:

6.2W

论文数: 5.3W

被引数: 3.9K

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