Title: Automated Constraint-Based Quantum Algorithm Design

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

The design of quantum algorithms is a complex and time-consuming process, traditionally reliant on human expertise and intuition. This paper explores a novel system, the "Constraint-Driven Quantum Evolution" (CDQE) technique, designed to automate this design process, offering a significant leap forward in algorithm creation. We introduce a method that iteratively refines a quantum algorithm based on a predefined set of constraints, significantly reducing the need for manual iteration and enabling the discovery of novel and efficient quantum solutions. The CDQE leverages a dynamic constraint system, allowing the algorithm to adapt to evolving problem requirements. The core mechanism centers around a continuous refinement process driven by constraint satisfaction, offering a fundamentally different approach to quantum algorithm design. We present a preliminary implementation demonstrating the effectiveness of this system in generating candidate quantum circuits, highlighting its potential to revolutionize algorithm development.

DOI: 10.5281/zenodo.22202741

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