Title: Non-Local Constraint Solver for Complex Systems
Jincheng Zhang
Abstract
This paper introduces a novel constraint solver leveraging quantum entanglement to enhance the search process for complex systems. Traditional constraint solvers often face limitations in exploring the vast solution space due to computational constraints. We propose a method utilizing quantum entanglement to represent potential solutions and simultaneously explore multiple possibilities, dramatically increasing the search efficiency. The system demonstrates a significant improvement in solving a complex, multi-dimensional constraint problem, showcasing the potential of this approach to tackle problems previously intractable with conventional methods. The core mechanism involves creating entangled states to represent different solution branches, enabling parallel exploration and faster convergence. This work explores the feasibility of quantum entanglement in constraint solving and offers a promising avenue for more efficient solution generation.