Electrically driven and exponentially enhanced spin–photon interfaces for quantum networks

IF 2.2 3区 物理与天体物理 Q1 PHYSICS, MATHEMATICAL Quantum Information Processing Pub Date : 2024-12-14 DOI:10.1007/s11128-024-04612-6
Fang-Yu Hong
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引用次数: 0

Abstract

We present an electrically driven scheme for spin–photon quantum interfaces used in quantum networks. Through modulating the motion of a nano-cantilever with voltages, optomechanical coupling and spin–mechanical coupling can be exponentially enhanced simultaneously. Numerical simulations show that by applying well-designed voltages high-fidelity quantum interface operations such as generation and absorption of a single photon with a known wave packet are within the reach of current techniques.

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用于量子网络的电驱动和指数增强型自旋光子接口
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来源期刊
Quantum Information Processing
Quantum Information Processing 物理-物理:数学物理
CiteScore
4.10
自引率
20.00%
发文量
337
审稿时长
4.5 months
期刊介绍: Quantum Information Processing is a high-impact, international journal publishing cutting-edge experimental and theoretical research in all areas of Quantum Information Science. Topics of interest include quantum cryptography and communications, entanglement and discord, quantum algorithms, quantum error correction and fault tolerance, quantum computer science, quantum imaging and sensing, and experimental platforms for quantum information. Quantum Information Processing supports and inspires research by providing a comprehensive peer review process, and broadcasting high quality results in a range of formats. These include original papers, letters, broadly focused perspectives, comprehensive review articles, book reviews, and special topical issues. The journal is particularly interested in papers detailing and demonstrating quantum information protocols for cryptography, communications, computation, and sensing.
期刊最新文献
A secure authenticated semi-quantum key distribution scheme for semi-quantum environments Parrondo’s paradox in quantum walks with different shift operators Non-Markovianity in discrete-time open quantum random walk on arbitrary graphs Electrically driven and exponentially enhanced spin–photon interfaces for quantum networks Echo-evolution data generation for quantum error mitigation via neural networks
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