Quantum-Driven Constraint Satisfaction for Complex Simulations

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Abstract: This paper explores the application of quantum annealing to constraint satisfaction problems within complex simulations, specifically molecular dynamics. We introduce a novel quantum-driven constraint satisfaction algorithm designed to accelerate simulations by dynamically adjusting constraints during the annealing process. The core mechanism leverages quantum annealing to efficiently explore the solution space, offering a potential paradigm shift for computationally intensive simulations. This research aims to address the limitations of classical constraint satisfaction methods in large-scale molecular dynamics simulations, ultimately improving accuracy and efficiency.

DOI: 10.5281/zenodo.22194601

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