June 7, 2021 -Carleo/ Kim- Harnessing Quantum Matter Data Revolution
Автор: Cornell Laboratory of Atomic and Solid State Physics
Загружено: 2021-06-07
Просмотров: 813
Giuseppe Carleo - École Polytechnique Fédérale de Lausanne - "Learning Wave Functions of Many- Body Quantum Matter"
Eun-Ah Kim - Cornell University - "Machine Learning of Quantum Emergence"
https://quantum-summer.school/
0:00:00 Giuseppe Carleo - Learning Wave-Functions of Many-Body Quantum Matter
0:01:18 Intro to many-body problem
0:06:26 Variational representations of physical states
0:15:05 Neural network representations; frustrated J1-J2 spin model
0:24:10 Comparison of methods for J1-J2 model
0:30:16 Fermionic problems; spin mappings; quantum chemistry
0:42:47 Simulating quantum circuits
0:50:47 Conclusion
0:53:12 Questions
1:03:58 Eun-Ah Kim - Machine Learning of Quantum Emergence
1:08:36 Quantum data, then and now
1:16:12 Application: Supervised hypothesis testing on quantum image data
1:25:54 Application: Interpreting neural networks for quantum gas microscopy
1:34:39 Application: Supervised learning on synthetic MC data
1:38:00 Application: Unsupervised learning on voluminous x-ray data
1:50:24 Conclusion
1:52:18 Questions
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