The Ising model, when used as a technique, refers to a computational and analytical framework for studying systems of binary variables with pairwise interactions, typically on a lattice or graph, via ...

Abstract: Ising model-based Quantum Error Correction decoders reduce topological complexity compared to classical decoders. However, the SOTA Ising decoder has a ...

The main theoretical framework for modeling decision-making processes has been based on the highly successful drift-diffusion model. However, recent observations challenge this model, indicating that ...

Abstract: This article investigates the utilization of Ising model in emulating the function of neurotransmitters within neuronal networks of the cerebral cortex, as well as its prospective impact on ...

Numerical Simulation Laboratory at Unimi in 2020-2021 (D.E. Galli). Advanced Monte Carlo methods: Markov chains, Metropolis algorithm. Numerical simulations in statistical mechanics. Stochastic ...

We compute the genus 0 free energy for the 2-matrix model with quartic interactions, which acts as a generating function for the Ising model's partition function on a random, 4-regular, planar graph.

The central selling point of qubit-based quantum processors is that they can supposedly solve certain types of tasks much faster than a classical computer. This comes however with the major ...

Quantum computing is a field with increasing relevance as quantum hardware improves and more applications of quantum computing are discovered. In this paper, we demonstrate the feasibility of modeling ...