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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Main Authors: | Zen, Remmy, My, Long, Tan, Ryan, Hébert, Frédéric, Gattobigio, Mario, Miniatura, Christian, Poletti, Dario, Bressan, Stéphane |
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Other Authors: | School of Physical and Mathematical Sciences |
Format: | Article |
Language: | English |
Published: |
2021
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/146572 |
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Institution: | Nanyang Technological University |
Language: | English |
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