Quantum-Inspired Ising Machines for Quantum Chemistry Calculations

TL;DR

This paper demonstrates that quantum-inspired Ising machine algorithms can accurately simulate molecular energy profiles faster than traditional quantum computing methods, offering a promising approach for quantum chemistry applications.

Contribution

It introduces the use of coherent Ising machines and simulated bifurcation algorithms for quantum chemistry, achieving accurate energy calculations with significantly reduced computational times.

Findings

Accurately reproduces H2 and H2O energy profiles

Achieves computational times of 1.2 s and 2.4 s for molecules

Outperforms gate-based quantum approaches in speed

Abstract

Four decades after Richard Feynman's famous remark, we have reached a stage at which nature can be simulated quantum mechanically. Quantum simulation is among the most promising applications of quantum computing. However, like many quantum algorithms, it is severely constrained by noise in near-term hardware. Quantum-inspired algorithms provide an attractive alternative by avoiding the need for error-prone quantum devices. In this study, we demonstrate that the coherent Ising machine and simulated bifurcation algorithms can accurately reproduce the electronic energy profiles of H_2 and H_2O, capturing their essential energetic features. Notably, we obtain computational times of 1.2 s and 2.4 s for the H_2 and H_2O profiles, respectively, representing a substantial speed-up compared to gate-based quantum computing approaches, which typically require at least 6 s to compute a single molecular geometry with comparable accuracy. These results highlight the potential of quantum-inspired approaches for scaling to larger molecular systems and for future applications in chemistry and materials science.