Many-body quantum physics with machine learning

Contribution List

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