Quantum-Inspired Feedback Loop for Algorithm Stability

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

Quantum-inspired feedback loops offer a novel approach to enhancing algorithm stability, particularly in dynamic environments. This paper explores the potential of incorporating quantum entanglement into a feedback mechanism designed to proactively detect and mitigate instability issues. We present a theoretical framework detailing the core principles, mechanisms, and expected outcomes of this approach. The goal is to develop a robust and adaptable strategy for improving the reliability of algorithms across a range of scenarios. This work provides a foundational investigation into the application of quantum mechanics to algorithm optimization, aiming for significant improvements in stability through a dynamically adjusted feedback system.

DOI: 10.5281/zenodo.22250855

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