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Many-body quantum physics with machine learning

4–8 Sept 2023
ECT*
Europe/Rome timezone

Contact | Susan Driessen

Contribution List

31 / 31
1. REGISTRATION
04/09/2023, 09:00
2. Welcome ECT* Director
Gert Aarts
04/09/2023, 09:30
30. Workshop Introduction
Arnau Rios Huguet
04/09/2023, 09:35
3. Electron gas and hydrogen: from ground state energies to excitation spectra
Markus Holzmann
04/09/2023, 11:00
4. Learning ground states of gapped quantum Hamiltonians with Kernel Methods
Clemens Giuliani
04/09/2023, 12:00
5. Neural Quantum States for Mixed States and their sample complexity
Filippo Vicentini
04/09/2023, 14:00
6. Liquid-Solid Phase Transition in 2D He-4 With Neural Quantum States
David Linteau
04/09/2023, 15:00
7. Discussion session
04/09/2023, 16:00
8. A simple NQS on a discretized lattice space
Carlo Barbieri
05/09/2023, 09:30
9. Neural Network Quantum States for spinless fermions
James Keeble
05/09/2023, 11:00
10. Anti-symmetrized neural quantum states
Javier Rozalén
05/09/2023, 12:00
11. Ultracold atoms with neural network quantum states
Dr Jane Kim (OSU)
05/09/2023, 14:00
12. Transfer learning for many-body physics
Amir Azzam
05/09/2023, 15:00
13. Discussion session
05/09/2023, 16:00
14. Neural Quantum States for Neutron Stars
Bryce Fore
06/09/2023, 09:30
15. Natural Quantum Monte Carlo Computation of Excited States
David Pfau
06/09/2023, 11:00
16. Neural Network Applications in Pionless EFT
Elad Parnes
06/09/2023, 12:00
17. ML applied to the analysis of quantum phases in a quantum simulation of the Agassi model
Pedro Pérez-Fernandez
06/09/2023, 14:00
18. Unbiasing time-dependent Variational Monte Carlo by projected quantum evolution
Alessandro Sinibaldi
06/09/2023, 15:00
19. Discussion session
06/09/2023, 16:00
20. Optimising Fermionic Neural Networks with Decision Geometry
Mehdi Drissi
07/09/2023, 09:30
21. Self-learning projective quantum Monte Carlo simulations guided by neural network states
Sebastiano Pilati
07/09/2023, 11:00
22. Evolution optimization in Digital-Analog Quantum Simulations
Alvaro Saiz-Castillo
07/09/2023, 12:00
23. Simulating Quantum Field Theories with Neural Network Representation
Di Luo
07/09/2023, 14:00
24. Machine learning flow-based models for nuclear many-body calculations with quantified uncertainties
Pengsheng Wen (Texas A&M University)
07/09/2023, 15:00
25. Discussion session
07/09/2023, 16:00
31. Improving qubit readout with autoencoders
Dr Piero Luchi (Trento)
08/09/2023, 10:00
28. Data-driven discovery of relevant information in quantum simulators
Roberto Verdel Aranda (The Abdus Salam International Centre for Theoretical Physics (ICTP))
08/09/2023, 11:00
29. Exploring self-bound Hypernuclear states with Neural Quantum States
Andrea Di Donna
08/09/2023, 12:00
26. TBA
TBC
27. TBA
TBA
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