Monday, March 6, 2023
3:00PM - 3:36PM
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D62.00001: Recurrent neural networks for many-body physics
Invited Speaker:
Juan Carrasquilla
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Monday, March 6, 2023
3:36PM - 3:48PM
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D62.00002: Self-Averaging of Digital MemComputing Machines
Daniel Primosch
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Monday, March 6, 2023
3:48PM - 4:00PM
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D62.00003: A deep learning approach to quantum many-body physics with space group symmetries
Tianshu Huang
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Monday, March 6, 2023
4:00PM - 4:12PM
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D62.00004: Solving quantum many-body problems by combining artificial neural network with variational Monte Carlo
Xiaowei Ou
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Monday, March 6, 2023
4:12PM - 4:24PM
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D62.00005: Towards Neural Variational Monte Carlo That Scales Linearly with System Size
Or Sharir, Garnet K Chan, Anima Anandkumar
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Monday, March 6, 2023
4:24PM - 4:36PM
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D62.00006: Systematic improvement of neural network quantum states using Lanczos
Hongwei Chen, Douglas G Hendry, Phillip E Weinberg, Adrian E Feiguin
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Monday, March 6, 2023
4:36PM - 4:48PM
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D62.00007: Progress on the simulation of ab-initio Hamiltonians using neural network quantum states
Javier Robledo Moreno, jeffrey cohn, Mario Motta, Jannes Nys, Giuseppe Carleo, Antoine Georges
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Monday, March 6, 2023
4:48PM - 5:00PM
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D62.00008: Fermionic isometric tensor network states in 2D
Zhehao Dai, Yantao Wu, Taige Wang, Michael P Zaletel
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Monday, March 6, 2023
5:00PM - 5:12PM
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D62.00009: Constructing realistic tight-binding models via differentiable programming
Mengli Hu
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Monday, March 6, 2023
5:12PM - 5:24PM
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D62.00010: Autoregressive neural Slater-Jastrow ansatz for variational Monte Carlo simulation
Stephan Humeniuk, Yuan Wan, Lei Wang
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Monday, March 6, 2023
5:24PM - 5:36PM
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D62.00011: Unreasonable effectiveness of pairwise Markov random fields in finding ground states of stoquastic Hamiltonians
Yuchen Pang, Abhijith J., Evan McKinney, Carleton Coffrin, Marc Vuffray, Andrey Y Lokhov
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Monday, March 6, 2023
5:36PM - 5:48PM
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D62.00012: Spectral Gaps via Imaginary Time
Jacob Leamer, Alicia B Magann, Denys I Bondar
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