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#diffusion models Open access

Non-Equilibrium Thermodynamics-Based Quantum Computing Error Propagation

Sep 2026 · Zenodo (CERN European Organization for Nuclear Research)
Quantum Computing Algorithms and Architecture

Abstract

Quantum computing promises revolutionary advancements across various fields, yet its practical realization is severely hampered by errors arising from various sources. Traditional approaches to error correction in quantum computing often treat decoherence and other error mechanisms as isolated processes. This paper proposes a novel framework for understanding and mitigating quantum computing errors by grounding them within the principles of non-equilibrium thermodynamics. We argue that quantum bit (qubit) errors are not solely due to decoherence, but are fundamentally linked to energy transfer and entropy generation within the quantum system. We develop a mathematical model based on non-equilibrium thermodynamics to describe the propagation of errors, considering the dynamic interactions between qubits and their environment. This model incorporates concepts such as the Boltzmann equation, the Fokker-Planck equation, and the Landauer principle. Specifically, we define error propagation as a non-linear diffusion process driven by thermal fluctuations and dissipation. The model predicts the evolution of the error distribution across a quantum processor, highlighting the critical role of temperature, coupling strengths, and dissipation rates in error propagation. Furthermore, we explore potential control strategies based on this thermodynamic framework, including tailored cooling schemes and optimized qubit interactions to minimize error propagation. The core claim of this work is that a comprehensive understanding of quantum computing errors necessitates a shift from purely quantum mechanical descriptions to a thermodynamic perspective, offering a pathway towards more robust and scalable quantum computers.

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