Title: Dynamic Constraint Relaxation via Quantum Tunneling

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper investigates the potential of quantum tunneling to accelerate the dynamic constraint relaxation process within a system. Traditional constraint relaxation methods often involve computationally intensive optimization algorithms, frequently leading to significant delays. We propose a novel approach that utilizes quantum tunneling to rapidly alter the state of constraint variables, offering a potentially transformative improvement in optimization speed. The core mechanism involves simulating quantum tunneling of constraint variables, generating a rapid sequence of changes in the system's state. This paper presents a theoretical framework and preliminary experimental validation demonstrating the efficacy of this technique. The core claim is that quantum tunneling can drastically reduce the time required for constraint relaxation compared to classical methods.

DOI: 10.5281/zenodo.22185194

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