Self-Adaptive Probabilistic Field Theory for Quantum Computing Validation

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper introduces a novel self-adaptive probabilistic field theory framework for quantum computing validation, aiming to standardize the validation process and enhance the accuracy and reliability of quantum computations. The core mechanism centers around a dynamically adjustable parameter adjustment strategy, tailored to the unique properties of each quantum system being evaluated. We propose a system that iteratively refines the probability field parameters to optimize the verification process, addressing the limitations of traditional validation methods. The study demonstrates the effectiveness of this framework through a theoretical analysis and a preliminary experimental validation. The core claim is that this framework provides a significantly more robust and adaptable validation approach compared to existing methods.

DOI: 10.5281/zenodo.22450101

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