Dynamic Quantum Circuit Synthesis and Optimization

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper presents a novel approach to quantum circuit synthesis and optimization, addressing the significant challenges in designing efficient quantum algorithms. The core idea is to develop a system capable of dynamically generating and optimizing quantum circuits based on the specific characteristics of quantum hardware and the demands of the targeted quantum algorithm. The system employs optimization algorithms, such as quantum annealing or genetic algorithms, to navigate the vast space of possible quantum circuits, incorporating hardware constraints throughout the optimization process. This automated design approach aims to overcome the complexities inherent in traditional quantum circuit synthesis, ultimately accelerating the progress of quantum computing by facilitating the realization of practical and efficient quantum algorithms. The developed system is designed to adapt to varying quantum hardware limitations, leading to optimized circuit designs for a wide range of quantum algorithms. The key contribution lies in the integration of hardware-aware optimization within a dynamic synthesis framework.

DOI: 10.5281/zenodo.22200874

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