Quantum Computing Probabilistic Modeling Validation

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

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.

DOI: 10.5281/zenodo.22472754

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