Abril 11, 2025
11:00
The quantum profile of high-energy colliders
Where and when
Date
Abril 11, 2025
11:00
Location
TBA
Featured speakers
Prof. Germán Rodrigo
Investigador Científico, CSIC
Read bio
Short bio
Research Scientist at the Institute of Corpuscular Physics (IFIC), a
joint institute of the University of Valencia and CSIC. I hold a PhD
from the University of Valencia (1996) and have pursued postdoctoral
research at prestigious institutions including the Karlsruhe Institute
of Technology (KIT, Germany), the Istituto Nazionale di Fisica
Nucleare (INFN, Italy), and the European Laboratory for Particle
Physics (CERN, Switzerland). Seconded National Expert at the European
Research Council Executive Agency (ERC) – European Commission from
2021 to 2023.
My primary research focuses on developing innovative methods and
algorithms in Quantum Field Theory (QFT) to uncover the complex
dynamics underpinning the Standard Model (SM) of elementary particles
and potential extensions that describe new physics. The ultimate goal
is to achieve the highest theoretical precision in modeling scattering
processes at high-energy accelerators such as the CERN’s Large Hadron
Collider (LHC). These investigations have significant experimental
implications and also provide profound insights into the formal
structures and fundamental aspects of QFT. Recently, my work has
expanded to include the development and application of quantum
algorithms in the context of high-energy physics, exploring their
potential to address computational challenges in this domain.
High-energy colliders, such as the Large Hadron Collider (LHC) at
CERN, are genuine quantum machines by nature, and thus, following
Richard Feynman’s original motivation for quantum computing, the
scattering processes occurring there should be more effectively
simulated by a quantum system. While the dream of a fully-fledged
quantum event generator for simulating scattering processes at
colliders is still far in future, there is a huge interest in the
particle physics community in leveraging the latest advances in
quantum computing. The potential applications include quantum machine
learning techniques for collider data analysis, enabling faster and
more precise evaluations of the intricate multiloop Feynman diagrams
and jet clustering. The LHC is also the only place where certain
quantum measurements are possible, such as entanglement in the
production of top-antitop quark pairs. In this talk, I will review all
of these applications and will outline possible future directions for
quantum algorithms and quantum technologies in this field.
Event finished
Share this
