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- W4225105816 abstract "The so-called contemporary AI revolution has reached every corner of the social, human and natural sciences -- physics included. In the context of quantum many-body physics, its intersection with machine learning has configured a high-impact interdisciplinary field of study; with the arise of recent seminal contributions that have derived in a large number of publications. One particular research line of such field of study is the so-called Neural-Network Quantum States, a powerful variational computational methodology for the solution of quantum many-body systems that has proven to compete with well-established, traditional formalisms. Here, a systematic review of literature regarding Neural-Network Quantum States is presented." @default.
- W4225105816 created "2022-04-30" @default.
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- W4225105816 date "2022-04-27" @default.
- W4225105816 modified "2023-10-17" @default.
- W4225105816 title "Neural-Network Quantum States: A Systematic Review" @default.
- W4225105816 doi "https://doi.org/10.48550/arxiv.2204.12966" @default.
- W4225105816 hasPublicationYear "2022" @default.
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