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Probability Field Dynamics (PFD) – Quantum Computing Validation

Jincheng Zhang

Published Sep 6, 2026• 0 citations
Publisher

Abstract

This paper investigates the application of Probability Field Dynamics (PFD) to quantum computing validation through simulation and quantum entanglement analysis. We propose a framework for evaluating quantum algorithms' performance using PFD-based simulations and leveraging quantum entanglement to verify algorithm correctness. Traditional quantum verification relies heavily on classical simulations, limiting the direct assessment of quantum algorithm performance. The core concept of this work is to directly utilize the probabilistic nature of PFD to validate quantum algorithms by simulating their behavior and examining entanglement correlations. This approach offers a novel pathway to robust and accurate quantum algorithm assessment. The paper outlines the framework, methodology, and preliminary results demonstrating the potential of this approach to significantly advance quantum verification techniques.

DOI
10.5281/zenodo.22508689

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Quantum computing promises revolutionary advancements across numerous fields, demanding rigorous validation of computational algorithms and models. This paper presents a novel probabilistic modeling framework for quantum computing, designed to provide a robust and verifiable approach to assessing the accuracy of quantum algorithms and their potential for practical applications. The core of this framework leverages the power of quantum simulation to dynamically explore parameter space, effectively validating the model's ability to faithfully replicate quantum system behavior. We argue that this approach overcomes limitations of traditional validation methods, offering a more precise and dependable method for confirming quantum system fidelity.
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