Quantum Machine Learning for Distributed Quantum Protocols with Local Operations and Noisy Classical Communications

Quantum Machine Learning for Distributed Quantum Protocols with Local Operations and Noisy Classical Communications

Distributed quantum information processing protocols such as quantum entanglement distillation and quantum state discrimination rely on local operations and classical communications (LOCC). Existing LOCC-based protocols typically assume the availability of ideal, noiseless, communication channels. I...

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Bibliographic Details
Main Authors: Hari Hara Suthan Chittoor, Osvaldo Simeone
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Entropy
Subjects:
quantum machine learning
entanglement distillation
state discrimination
distributed quantum computing
parameterized quantum circuits
Online Access:https://www.mdpi.com/1099-4300/25/2/352

Internet

https://www.mdpi.com/1099-4300/25/2/352

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