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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.
Efficient information recovery from Pauli noise via classical shadow
The rapid advancement of quantum computing has led to an extensive demand for effective techniques to extract classical information from quantum systems, particularly in fields like quantum machine learning and quantum chemistry.
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