Quantum Decay Probability Assessment in Quantum Computing

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

Quantum decay, also known as decoherence, represents a significant challenge in the realization of practical quantum computers. The loss of quantum information due to interactions with the environment introduces errors and ultimately limits the computational power. This paper presents a probabilistic assessment model for evaluating the decay probability within quantum computing processes. The model leverages quantum mechanics and statistical analysis to quantify error probabilities, considering factors such as environmental noise and qubit interactions. We develop a framework for estimating the impact of decay on quantum computations, providing insights for designing more robust quantum algorithms and hardware. The core contribution lies in offering a quantifiable approach to assess and mitigate the risks associated with quantum decay, ultimately contributing to the advancement of quantum computing technology. The model incorporates key parameters including qubit fidelity, environmental noise levels, and the duration of quantum operations, allowing for a dynamic evaluation of the overall decay probability. The results generated by this model can be directly applied to optimize quantum algorithms and hardware designs, leading to improved performance and reliability. ---

DOI: 10.5281/zenodo.22339517

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