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. In this paper, we study the case in which classical communication takes place over noisy channels, …