Quantum Noise-Based Computation Algorithm Optimization

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper proposes a novel computational algorithm leveraging the inherent characteristics of quantum noise. The core premise is that quantum noise, traditionally considered a detrimental factor in quantum computation, can be exploited as a resource to enhance both the accuracy and efficiency of calculations. The algorithm is designed to treat noise not as an error but as an integral component of the computation process. By precisely controlling the intensity and direction of the noise, we aim to improve the overall precision of the results. This approach represents a significant departure from conventional quantum algorithms that primarily focus on mitigating the effects of noise. The methodology outlined herein offers a new paradigm for quantum computation, potentially unlocking significant advantages in specific computational tasks. We explore the theoretical framework and the key design elements, emphasizing the strategic utilization of quantum noise for optimized computation.

DOI: 10.5281/zenodo.22336814

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