Conveners
Session 8
- Sebastiano Schifano (Istituto Nazionale di Fisica Nucleare)
Quantum computing is a promising approach to avoid the sign problem that hinders the numerical simulation of many interesting physical systems. Here we report some progress on the application of quantum computing algorithms to the study of the thermodynamics for the one-dimensional Hubbard model, which can be regarded as a prototype for more complex theories having non-trivial fermionic...
In nuclear physics the so-called ab initio methods allow to solve the full Schroedinger equation, for few-body systems, with realistic potentials. From the theoretical point of view, chiral effective field theory provides a solid basis with interactions organized according to the importance of their contribution in powers of $Q$, the typical nucleon momentum, on the cutoff...
A background magnetic field is able to alter the confinement and chiral properties of QCD. We study the effects of two extremely strong magnetic background intensities, namely $eB=4$ and $9$ GeV$^2$, on the phase structure of the QCD with $2+1$ flavors at the physical point, by means of lattice simulations. We find evidences for a first order phase transition in the stronger magnetic field,...
The explosive growth of machine learning provides a novel approach to study quantum field theo- ries on the lattice. One intriguing class of algorithms recently proposed are Normalizing Flows, deep generative models able to learn highy expressive transformations between distributions. In lattice field theory, Normalizing Flows can sample uncorrelated configurations from Boltzmann...
