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pro vyhledávání: '"Yao, Hongshun"'
Quantum state purification is crucial in quantum communication and computation, aiming to recover a purified state from multiple copies of an unknown noisy state. This work introduces a general state purification framework designed to achieve the hig
Externí odkaz:
http://arxiv.org/abs/2404.01138
Publikováno v:
Phys. Rev. A 110, 012458 (2024)
Quantum broadcasting is central to quantum information processing and characterizes the correlations within quantum states. Nonetheless, traditional quantum broadcasting encounters inherent limitations dictated by the principles of quantum mechanics.
Externí odkaz:
http://arxiv.org/abs/2310.15156
Publikováno v:
Advances in Neural Information Processing Systems (NeurIPS), 2022, 35: 27810-27823
Quantum neural networks (QNNs) have emerged as a leading strategy to establish applications in machine learning, chemistry, and optimization. While the applications of QNN have been widely investigated, its theoretical foundation remains less underst
Externí odkaz:
http://arxiv.org/abs/2205.07848
Akademický článek
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