Transfer learning for scalability of neural-network quantum states

• المؤلفون الرئيسيون: Zen, Remmy, My, Long, Tan, Ryan, Hébert, Frédéric, Gattobigio, Mario, Miniatura, Christian, Poletti, Dario, Bressan, Stéphane
• مؤلفون آخرون: School of Physical and Mathematical Sciences
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Science::Physics; Quantum Statistical Mechanics; Quantum Spin Models
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/146572

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...