Recurrent neural network approach to quantum signal: coherent state restoration for continuous-variable quantum key distribution
DOI10.1007/s11128-018-1877-yzbMath1395.81105OpenAlexW2789988339WikidataQ113106629 ScholiaQ113106629MaRDI QIDQ1654138
Kun Hou, Weizhao Lu, Zhengmei Li, Chunhui Huang, Jianfeng Qiu, Liting Shi, Hui-Hui Zhao
Publication date: 7 August 2018
Published in: Quantum Information Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11128-018-1877-y
Cryptography (94A60) Signal detection and filtering (aspects of stochastic processes) (60G35) Neural nets applied to problems in time-dependent statistical mechanics (82C32) Quantum information, communication, networks (quantum-theoretic aspects) (81P45) Quantum cryptography (quantum-theoretic aspects) (81P94)
Related Items (5)
Cites Work
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- Quantum cryptography: public key distribution and coin tossing
- A recurrent quantum neural network model to describe eye tracking of moving targets
- Maximum likelihood estimation of Gaussian mixture models without matrix operations
- CONTINUOUS-VARIABLE QUANTUM KEY DISTRIBUTION PROTOCOLS WITH EIGHT-STATE DISCRETE MODULATION
- High performance reconciliation for continuous-variable quantum key distribution with LDPC code
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