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.

Given a list of cities and the distances between each pair of cities, how do you determine the shortest route that visits each city exactly once and returns to the starting location? This famous ...

This project applies machine learning techniques to study financial systems through the lens of the Ising model. It leverages synthetic data generated from the Ising model and uses a Multi-Layer ...

Theoretical physicists develop mathematical models to describe material systems, which they can then use to make predictions about how materials will behave. One of the most important models is the ...

Abstract: A merge process is proposed to engineer a multi-spin flip in an Ising machine. The merge process deforms the Hamiltonian (energy function) of the Ising model. We prove a theorem for the ...