Dynamic Program Verification with Quantum Algorithm Acceleration

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper investigates the application of quantum algorithms to accelerate dynamic program verification (DPV). Dynamic program verification is a computationally intensive process often employed in software verification and formal methods. The core claim presented here is that leveraging quantum algorithms can significantly enhance the efficiency and security of DPV, potentially uncovering vulnerabilities that traditional algorithms might miss. The proposed mechanism involves formulating the DPV problem as a quantum algorithm problem, enabling the utilization of quantum computers for efficient solution. This research explores the theoretical framework and potential impact of such a hybrid approach. Specifically, we examine how quantum superposition and entanglement can be exploited to explore multiple states of the program simultaneously, leading to a faster verification process. The paper details the transformation of DPV state spaces into quantum state spaces and discusses the challenges associated with mapping the computational complexity of DPV onto the capabilities of current and near-term quantum hardware. We conclude by outlining future research directions and the potential for a paradigm shift in software verification.

DOI: 10.5281/zenodo.22269313

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