Quantum-Driven Constraint Optimization for Complex Circuits

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper explores the application of quantum computing to the challenging problem of designing complex electronic circuits. Traditional constraint optimization methods often struggle with the intricacy and scalability of these designs, particularly when incorporating dynamic or non-linear constraints. We propose a novel quantum-driven constraint optimization algorithm, leveraging quantum algorithms to efficiently navigate the design space and achieve improved performance and stability. The core mechanism centers on quantum-enhanced exploration of the circuit design space, offering a potential breakthrough in the design of advanced electronic circuits. The paper details the algorithm's structure, potential advantages, and initial experimental results, demonstrating the feasibility of applying quantum computation to this critical design task. The primary goal is to enhance circuit reliability and performance through optimization techniques.

DOI: 10.5281/zenodo.22635401

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