Workshops

The Fermion Sign Problem poses a significant challenge in computational quantum many-body physics, hindering the application of Quantum Monte Carlo methods to Fermionic systems. This issue is due to the antisymmetric nature of Fermionic wavefunctions, which results in an exponential decay of the signal-to-noise ratio as system size and inverse temperature increase, leading to numerical instabilities in large-scale simulations.

Quantum computing is a constantly evolving research field, and the rapid progress in hardware development is opening new possibilities and offering new challenges.

Nuclear and high energy physics facilities, such as CERN, Jefferson Lab, RHIC, and the forthcoming EIC, have been built around the world to study the visible universe at the fermi scale. They are already producing exabytes of data. This unprecedented amount of data holds the promise of solving many of the mysteries in QCD in the nonperturbative regime. However, extracting the required information is an extremely challenging task, as there is no available analytic solution for QCD to interpret data.

The synthesis of heavy elements occurs through complex reactions in unstable nuclei in exotic astrophysical environments. Understanding this requires precise knowledge of the nuclei involved, which are often experimentally inaccessible and thus need to be studied theoretically.

Recent years have seen major advances in our understanding of the quark and gluon content of hadrons. Yet, achieving a fully quantitative three-dimensional picture of parton distributions within nucleons remains a critical challenge in QCD.

Describing the interaction between nucleons and understanding how nuclei behave at the extremes of stability are two major goals of modern nuclear theory. Electroweak responses in nuclei from the low-energy to quasi-elastic regimes provide a means to address these aims.

Based on a simple pattern of symmetries and their breaking, and the non-Abelian gauge field theory framework, the Standard Model with its relatively few parameters sets stringent constraints on the possible outcomes of experimental measurements from low to high energies.

Nuclear physics, despite its remarkable achievements and recent advancements, is sometimes mistakenly perceived as a field of the past. In truth, it stands at the fore-front of scientific exploration, invigorated by cutting-edge developments in few- and many-body methodologies, field-theoretical frameworks, and state-of-the-art experimental techniques.

Recent years have seen an explosion of cross-disciplinary research linking machine learning and theoretical physics. In this workshop, we focus on generative methods as applied to lattice field theory, with QCD as a long-term target.

Superheavy nuclei occupy the extremely high-Z edge of the Segré chart, and superheavy elements form the limit of the periodic table. The physics and chemistry of superheavy elements are cutting-edge areas of research in nuclear science today.