Title: Quantum-Inspired Constraint Propagation (QICP)
Jincheng Zhang
Abstract
Quantum-Inspired Constraint Propagation (QICP) presents a novel constraint propagation algorithm inspired by the principles of quantum entanglement. This approach aims to overcome the limitations of traditional methods by introducing a dynamic "entanglement graph" representation of constraints and a "quantum tunneling" mechanism to explore alternative paths during optimization. The core claim of this research is to develop a constraint propagation algorithm that offers unprecedented efficiency in solving complex optimization problems. This paper details the implementation of QICP, explores its theoretical foundations, and presents preliminary results demonstrating its effectiveness in a range of benchmark problems.