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 ...

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 ...

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 ...

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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 ...

Abstract: Ising machines have attracted attention as efficient solvers for combinatorial optimization problems, which are formulated as ground-state (lowest-energy) search problems of the Ising model.

Abstract: The Ising model has been explored as a framework for modeling NP-hard problems, with several diverse systems proposed to solve it. The Magnetic Tunnel Junction (MTJ)-based Magnetic RAM is ...

1 D-Wave Systems, Burnaby, BC, Canada 2 Department of Computer Science, Joint Center for Quantum Information and Computer Science, University of Maryland, College Park, MD, USA This paper discusses ...