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Self-Referential Formal Verification of Quantum Programs

Jincheng Zhang

Published Sep 3, 2026• 0 citations
Publisher

Abstract

The verification of quantum programs presents a formidable challenge due to the fundamental properties of quantum mechanics, namely superposition and entanglement. Traditional verification methods struggle to cope with the exponentially growing state space inherent in quantum computation. This paper proposes a novel self-referential formal verification method that leverages quantum computation itself to tackle this problem. The core idea involves representing the verification system as a quantum program, enabling self-execution and verification. We utilize techniques from quantum circuit compilation and formal methods to design and implement this approach. This strategy offers a potential pathway to manage the complexity of quantum verification, though significant theoretical and practical hurdles remain. The primary objective is to establish a framework where the inherent properties of quantum systems are harnessed to address the verification process. This work lays the groundwork for future research into scalable quantum verification techniques.

DOI
10.5281/zenodo.22271956

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Quantum technologies are progressing at an extraordinary pace and are poised to transform numerous sectors both nationally and globally. Among them, quantum computing stands out for its potential to revolutionize areas such as cryptography, optimization, and the simulation of quantum systems, offering dramatic speed-ups for specific classes of problems. As quantum devices evolve and become increasingly pervasive, guaranteeing their correctness is of paramount importance. This necessitates the development of rigorous methods and tools to analyze and verify their behavior. However, the construction of such verification frameworks presents fundamental challenges. Quantum phenomena such as superposition and entanglement give rise to computational behaviors that differ profoundly from those of classical systems, leading to inherently probabilistic models and exponentially large state spaces, even for relatively small programs. Addressing these challenges requires building on the extensive expertise of the formal methods community in classical program verification, while incorporating recent advances and collaborative efforts in quantum systems. An interesting challenge for the verification community is to design and implement novel verification frameworks that transfer the key strengths of classical verification, such as expressive specification, precise error detection, automation, and scalability, to the quantum domain. We expect that the results of this research will play a crucial role in enabling the dependable deployment of quantum technologies across a wide range of future applications.
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Quantum circuit compilation is a crucial step in translating high-level quantum algorithms into executable quantum circuits on specific hardware. The complexity and potential for errors within this process necessitate rigorous verification methods. This paper proposes a novel approach leveraging symbolic execution to formally verify quantum circuit compilation. We represent quantum circuits and compilation steps as a symbolic program, enabling the exploration of all possible compilation paths. By incorporating quantum gate fidelities and noise models into the symbolic execution engine, we can identify potential errors in the compilation logic, providing a robust and systematic way to ensure the correctness of the compilation process. The core claim is that symbolic execution can be extended to formally verify the correctness of quantum circuit compilation processes. This work addresses a critical need in quantum computing, offering a new technique for building trust and reliability into quantum software.