Transfer learning for scalability of neural-network quantum states

Transfer learning for scalability of neural-network quantum states

Neural-network quantum states have shown great potential for the study of many-body quantum systems. In statistical machine learning, transfer learning designates protocols reusing features of a machine learning model trained for a problem to solve a possibly related but different problem. We propos...

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書目詳細資料
Main Authors:	Zen, Remmy, My, Long, Tan, Ryan, Hébert, Frédéric, Gattobigio, Mario, Miniatura, Christian, Poletti, Dario, Bressan, Stéphane
其他作者:	School of Physical and Mathematical Sciences
格式:	Article
語言:	English
出版:	2021
主題:	Science::Physics Quantum Statistical Mechanics Quantum Spin Models
在線閱讀:	https://hdl.handle.net/10356/146572
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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