Perturbative Quantum Field Theory is central to perform accurate theoretical predictions of observables at high-energy colliders. Fundamental concepts in this framework, such as loop Feynman diagrams and the phase-space, involve evaluating multidimensional integrals that are computationally intensive due to divergences and complex mathematical structures. To address these challenges and...
A promising way to probe physics beyond the Standard Model is to
search for gravitational wave (GW) signals at high frequencies where
known astrophysical sources can not obscure the signal. Similar to the
search for dark matter, microwave cavity resonators can be used to
detect faint effects from GWs. We will report on the progress of our project to operate such a detector and highlight...
We propose a quantum protocol for efficiently learning and sampling multivariate probability distributions that commonly appear in high-energy physics. Our approach introduces a bivariate probabilistic model based on generalized Chebyshev polynomials, which is (pre-)trained as an explicit circuit-based model for two correlated variables, and sampled efficiently with the use of quantum...
Quantum-based generative models offer an alternative route for simulating intricate phenomena in high-energy physics. One notable example is the simulation of calorimeter showers, which involve highly stochastic and high-dimensional data crucial for determining particle types and reconstructing energy in experiments such as those conducted at the LHC. As the complexity and scale of these...
Modern experiments in particle, astroparticle physics, and cosmology, particularly those probing for New Physics, are increasingly relying on quantum sensors to achieve unprecedented sensitivities. These include efforts to determine the absolute neutrino mass scale, search for neutrinoless double beta decay, detect potential dark matter candidates, or measure the B-mode polarization of the...
