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Virtual Quantum Markov Chains
In this work, we propose the concept of virtual quantum Markov chains (VQMCs), focusing on scenarios where subsystems retain classical information about global systems from measurement statistics.
Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks
As a quantum analog of probability distribution learning, quantum state learning is theoretically and practically essential in quantum machine learning.
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