Self-Correcting Digital Circuits via Quantum Annealing

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Digital circuits, the backbone of modern computation, are increasingly vulnerable to errors arising from environmental noise, including electromagnetic interference, thermal fluctuations, and process variations. These errors can propagate through circuits, leading to unreliable operation and potentially catastrophic failures, particularly in critical applications like aerospace, defense, and high-performance computing. This paper proposes a novel approach to mitigating these errors by leveraging the principles of Quantum Annealing (QA) to create self-correcting digital circuits. The core concept involves dynamically optimizing the circuit's design and operational parameters in real-time, responding to detected noise and implementing corrective actions. We formulate the circuit self-correction problem as an optimization problem amenable to QA. The objective function incorporates error detection metrics and the desired circuit performance. The QA algorithm iteratively explores the design space, identifying configurations that minimize the impact of noise and achieve the target functionality. Mathematical formulations detail the error modeling, the optimization problem, and the QA algorithm's core steps. The proposed method offers a fundamentally new approach to circuit design and operation, potentially leading to significantly more robust and reliable digital systems.

DOI: 10.5281/zenodo.22477698

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