Multi-Variable Quantum Degradation Analysis in Non-Classical Computing

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper presents a comprehensive analysis of multi-variable quantum degradation in non-classical computing. The core aim is to establish a multi-variable quantum degradation model, quantifying the impact and extent of degradation within multi-variable quantum computation processes. This model focuses on identifying key factors contributing to degradation, providing theoretical guidance for optimizing multi-variable quantum algorithms. The analysis leverages a multi-variable quantum computing model to simulate the degradation process, allowing for the precise quantification of degradation factors and their respective magnitudes. The research addresses a critical gap in the understanding of multi-variable quantum computation by offering a framework for predicting and mitigating the effects of degradation, ultimately enhancing the performance and reliability of multi-variable quantum algorithms. The model incorporates concepts from quantum error correction, decoherence theory, and multi-variable state manipulation, providing a robust theoretical foundation. The primary outcome is a set of mathematical expressions and parameters that characterize the degradation process, which can be used to guide algorithm design and resource allocation.

DOI: 10.5281/zenodo.22573856

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