Variational Quantum Computing: potential direction in High Energy Physics

by Michele Grossi (CERN Quantum Technology Initiative)

Monday 20 May 2024, 15:00 → 17:00 Europe/Rome

U1-02 (Università di Milano-Bicocca)

Abstract: CERN has started its second phase of the Quantum Technology Initiative with 5year-term plan aligned with the CERN research and collaboration objectives. This effort is designed to build specific capacity and technology platforms, and support a longer-term strategy to use quantum technology at CERN and in HEP in the future. Constructed over four specific and focused Centers of Competence, in this talk we will discuss Hybrid Quantum Computing Infrastructures Algorithms and Applications. After a preliminary introduction about the promise of quantum computing, we will discover main research directions and results from theoretical foundations of quantum machine learning algorithms to application in several areas of HEP.

Michele Grossi received his industrial Ph.D. in High Energy Physics from the University of Pavia, where he worked on quantum machine learning models for boson polarization discrimination. He worked for several years as a Quantum Technical Ambassador and Hybrid Cloud Solution Architect at IBM. In his current role at CERN, he coordinates and supervises a group of researchers focusing on the application of quantum algorithms

 

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