Quantum-Inspired Constraint Programming for Compiler Optimization

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

Quantum-Inspired Constraint Programming (QICP) presents a novel paradigm for compiler optimization, inspired by quantum mechanics, aiming to achieve performance gains through reduced computational complexity. This paper explores the potential of leveraging quantum phenomena – specifically, superposition, entanglement, and interference – to represent and optimize constraint-based programming languages. We detail the core mechanism of translating the constraint-based language into a quantum-inspired representation, focusing on identifying optimal program structures and minimizing the number of computations. The paper analyzes the theoretical implications and initial experimental results demonstrating the effectiveness of QICP in optimizing key aspects of code execution. This research highlights a potential paradigm shift in software development, moving beyond traditional algorithmic approaches towards a fundamentally different way of thinking about program design and optimization.

DOI: 10.5281/zenodo.22241725

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