Name: Advances in Many-Body Theories: from First Principle Methods to Quantum Computing and Machine Learning
Start: 2020-11-02T16:00:00+01:00
End: 2020-11-06T18:00:00+01:00
Location: No location set

Advances in Many-Body Theories: from First Principle Methods to Quantum Computing and Machine Learning

from Monday, 2 November 2020 (16:00) to Friday, 6 November 2020 (18:00)

Monday, 2 November 2020

16:00 Welcome ECT* Director Jochen Wambach
Welcome ECT* Director Jochen Wambach
16:00 - 16:10
16:10 Quantum@Trento - Francesco Pederiva (UniTN)
Quantum@Trento
- Francesco Pederiva (UniTN)
16:10 - 16:30
16:30 Musings on the Intersimulatability of Quantum Fields - Natalie Klco (Caltech)
Musings on the Intersimulatability of Quantum Fields
- Natalie Klco (Caltech)
16:30 - 17:15
17:15 Bayesian Model Mixing: Nuclear Physics Applications - Witek Nazarewicz (MSU)
Bayesian Model Mixing: Nuclear Physics Applications
- Witek Nazarewicz (MSU)
17:15 - 18:00
Tuesday, 3 November 2020
16:00 Machine Learning for Lattice Field Theory - Phiala Shanahan (MIT)
Machine Learning for Lattice Field Theory
- Phiala Shanahan (MIT)
16:00 - 16:45
17:00 Nuclear Physics Entering a Quantum-simulation Era: Lessons from the Past, Vision for the Future - Zohreh Davoudi (University of Maryland)
Nuclear Physics Entering a Quantum-simulation Era: Lessons from the Past, Vision for the Future
- Zohreh Davoudi (University of Maryland)
17:00 - 17:45
Wednesday, 4 November 2020
16:00 Variational Methods in the Era of Machine Learning: Classical and Quantum Computing Applications - Giuseppe Carleo (EPFL Lausanne)
Variational Methods in the Era of Machine Learning: Classical and Quantum Computing Applications
- Giuseppe Carleo (EPFL Lausanne)
16:00 - 16:45
16:45 Neural Network Quantum States for Atomic Nuclei - Alessandro Lovato (Argonne National Laboratory and UniTn)
Neural Network Quantum States for Atomic Nuclei
- Alessandro Lovato (Argonne National Laboratory and UniTn)
16:45 - 17:30
17:30 Towards a Machine Learning Description of Nuclei - James Keeble (University of Surrey)
Towards a Machine Learning Description of Nuclei
- James Keeble (University of Surrey)
17:30 - 17:45
17:45 Phys-NN -A Machine Learning Approach to Invert Nuclear Responses - Krishnan Raghavan (Argonne National Laboratory)
Phys-NN -A Machine Learning Approach to Invert Nuclear Responses
- Krishnan Raghavan (Argonne National Laboratory)
17:45 - 18:00
Thursday, 5 November 2020
16:00 Quantum Simulating Lattice Gauge Theories – High-energy Physics at Ultra-cold Temperatures - Philipp Hauke (UniTn)
Quantum Simulating Lattice Gauge Theories – High-energy Physics at Ultra-cold Temperatures
- Philipp Hauke (UniTn)
16:00 - 16:45
16:45 Prospects for Near Term Quantum Simulations through Optimal Control - Kyle Wendt ( Lawrence Livermore National Lab)
Prospects for Near Term Quantum Simulations through Optimal Control
- Kyle Wendt ( Lawrence Livermore National Lab)
16:45 - 17:30
17:30 The European Quantum Flagship and the ECT* - Tommaso Calarco (Juelich) Daniele Binosi (ECT*)
The European Quantum Flagship and the ECT*
- Tommaso Calarco (Juelich)
- Daniele Binosi (ECT*)
17:30 - 18:00
Friday, 6 November 2020
16:00 Nuclear Dynamics on Current Generation Quantum Devices - Alessandro Roggero (UW)
Nuclear Dynamics on Current Generation Quantum Devices
- Alessandro Roggero (UW)
16:00 - 16:45
16:45 Quantum Technologies for High Energy Physics: the CERN Quantum Technology Initiative - Sofia Vallecorsa (CERN)
Quantum Technologies for High Energy Physics: the CERN Quantum Technology Initiative
- Sofia Vallecorsa (CERN)
16:45 - 17:30
CERN, the European Organisation for Nuclear Research, operates the largest particle accelerator in the world and has a long tradition of collaboration and excellence in fundamental physics research. Quantum Technologies have seen an incredible development over just the last few years in all their aspects, computing, sensing, communications and theory. After a few years of pilot investigations, CERN has announced the creation of its Quantum Technology Initiative to understand the potential of these technologies for High Energy Physics, but also to contribute to their future development. This talk highlights the main objectives and current activities of the CERN Quantum Technology Initiative. A special emphasis will be placed on the Quantum Computing aspect and the activities carried out by CERN openlab, outlining the initial investigations that use quantum machine learning in High Energy Physics.
17:30 Quantum and the Future - David Dean (ORNL)
Quantum and the Future
- David Dean (ORNL)
17:30 - 18:00