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Formal Verification of Quantum Circuits Performance Analysis Across Algorithmic and Protocol-Based Implementations

Hasnain Muhammad

Published Jan 7, 2026• 0 citations
Publisher

Abstract

ABSTRACT- This paper presents an integrated framework for the automated verification and visualization of quantum circuits, addressing the critical need for reliable quantum software development tools. We implement and analyze eight fundamental quantum circuits Bell states, GHZ states, Quantum Fourier Transform (QFT), Grover's search algorithm, the Variational Quantum Eigensolver (VQE) for H₂ molecules, Quantum Teleportation, Superdense Coding, and the Bernstein-Vazirani algorithm through a comprehensive verification pipeline. The system generates publication-ready circuit diagrams and performs formal verification via automated theorem proving, achieving an overall verification success rate of 93.7% across all circuits. Notably, basic circuits such as Bell and GHZ states achieve perfect verification (100% success), whereas the Quantum Teleportation circuit presents the greatest challenge, attaining only 88.9% success. Results demonstrate a strong linear correlation (R² = 0.89) between circuit complexity (gate count) and verification time, with the framework processing 348 verification conditions per second. This work establishes quantitative benchmarks for quantum software verification, highlights specific gaps in protocol-level verification, and provides an integrated toolset that bridges the gap between circuit visualization and formal correctness assurance, thereby advancing the state of quantum software engineering.

DOI
10.5281/zenodo.18171680

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Quantum circuit optimization is crucial for realizing the full potential of quantum computing. However, the inherent complexity of quantum circuits and the potential for errors introduce significant challenges in ensuring the correctness and efficiency of optimization algorithms. This paper proposes a novel approach to formally verify quantum circuit optimization algorithms. We translate these algorithms into formal specification languages and leverage model checking and theorem proving techniques to rigorously demonstrate that the algorithms meet their intended objectives – primarily minimizing circuit complexity – without introducing unintended side effects. The core contribution lies in applying formal verification methodologies to this largely unexplored area, offering a path towards building trust and confidence in quantum optimization strategies. The presented framework provides a systematic method for ensuring the reliability of quantum circuits, a critical step towards practical quantum computation. The verification process relies on defining the desired behavior as a set of logical properties and then employing automated tools to check whether the optimized circuit satisfies these properties. This approach addresses the fundamental need for rigorous assurance in quantum systems, moving beyond empirical validation and towards mathematically proven correctness.
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This paper presents a novel approach to automated theorem proving specifically tailored for quantum circuit verification. The core idea is to construct a formal system that leverages logical reasoning and proof techniques to rigorously analyze quantum circuit designs. This system aims to identify errors and inconsistencies within the circuit, ensuring compliance with the fundamental principles of quantum mechanics. The proposed method moves beyond traditional circuit simulation, offering a mathematically sound guarantee of correctness. We detail the architecture of the theorem prover, focusing on the representation of quantum circuits and the application of proof strategies. The system utilizes a combination of techniques including logical deduction, model checking, and constraint solving, adapted for the unique characteristics of quantum computation. The paper outlines the key components of this system and highlights its potential to significantly improve the trustworthiness and reliability of quantum computing technologies. The central aim is to establish a robust framework for automated verification, reducing the risk of errors and accelerating the development of quantum software.
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.