Correction: Convolutional neural network based decoders for surface codes

IF 2.2 3区 物理与天体物理 Q1 PHYSICS, MATHEMATICAL Quantum Information Processing Pub Date : 2025-01-07 DOI:10.1007/s11128-024-04617-1
Simone Bordoni, Stefano Giagu
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更正:基于卷积神经网络的表面码解码器
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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
Improving the performance of practical reference-frame-independent quantum key distribution under the afterpulse effect Research on ghost imaging reconstruction by generative adversarial network and Rayleigh fading channel Approximate real-time evolution operator for potential with one ancillary qubit and application to first-quantized Hamiltonian simulation Color codes with domino twists: construction, logical measurements, and computation The performance of satellite-based mode-pairing quantum key distribution
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