Welcome ECT* Director Jochen Wambach

Quantum@Trento

• Francesco Pederiva (UniTN)

Musings on the Intersimulatability of Quantum Fields

• Natalie Klco (Caltech)

Bayesian Model Mixing: Nuclear Physics Applications

• Witek Nazarewicz (MSU)

Machine Learning for Lattice Field Theory

• Phiala Shanahan (MIT)

Nuclear Physics Entering a Quantum-simulation Era: Lessons from the Past, Vision for the Future

• Zohreh Davoudi (University of Maryland)

Variational Methods in the Era of Machine Learning: Classical and Quantum Computing Applications

• Giuseppe Carleo (EPFL Lausanne)

Neural Network Quantum States for Atomic Nuclei

• Alessandro Lovato (Argonne National Laboratory and UniTn)

Towards a Machine Learning Description of Nuclei

• James Keeble (University of Surrey)

Phys-NN -A Machine Learning Approach to Invert Nuclear Responses

• Krishnan Raghavan (Argonne National Laboratory)

Quantum Simulating Lattice Gauge Theories – High-energy Physics at Ultra-cold Temperatures

• Philipp Hauke (UniTn)

Prospects for Near Term Quantum Simulations through Optimal Control

• Kyle Wendt ( Lawrence Livermore National Lab)

The European Quantum Flagship and the ECT*

• Daniele Binosi (ECT*)
• Tommaso Calarco (Juelich)

Nuclear Dynamics on Current Generation Quantum Devices

• Alessandro Roggero (UW)

Quantum Technologies for High Energy Physics: the CERN Quantum Technology Initiative

• Sofia Vallecorsa (CERN)

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.

Quantum and the Future

• David Dean (ORNL)