In recent years, machine learning has emerged as a powerful computational tool and novel
problem-solving perspective for physics, offering new avenues for studying strongly …

Lattice gauge theory should be able to address significant new scientific questions when
implemented on quantum computers. In practice, error-mitigation techniques have already …

The energy spectrum of a system containing a static quark anti-quark pair is computed for a
wide range of source separations using lattice QCD with N f= 2+ 1 dynamical flavours. By …

Simulating the real-time dynamics of gauge theories represents a paradigmatic use case to
test the hardware capabilities of a quantum computer, since it can involve non-trivial input …

A bstract In this work, we establish a direct connection between generative diffusion models
(DMs) and stochastic quantization (SQ). The DM is realized by approximating the reversal of …

For the case of two light flavors we propose the stringy description of the system consisting
of two heavy and three light quarks, with the aim of exploring the quark organization inside …

Mechanistic interpretability aims to understand the behavior of neural networks by reverse-
engineering their internal computations. However, current methods struggle to find clear …

A Krylov subspace recycling method for the efficient evaluation of a sequence of matrix
functions acting on a set of vectors is developed. The method improves over the recycling …

For the case of two light flavors, we propose the stringy description of the system made of
one heavy and one light quark-antiquark pair, with the aim of exploring the two lower-lying …

This is the second of two companion papers in which we continue to develop the
construction of the doubly heavy pentaquark systems using the gauge/string duality. In this …