Adaptive Quantum Particle Resonance Pattern Recognition

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Abstract: This paper introduces an adaptive quantum particle resonance pattern recognition algorithm designed to automatically identify and stabilize quantum systems. The core mechanism leverages the inherent quantum properties of particles to achieve more robust and adaptable pattern recognition. We present a novel approach that automatically identifies and analyzes resonant frequencies within a system, providing a foundation for enhanced stability. The algorithm's adaptability is achieved through a dynamically adjusting resonance threshold, allowing it to effectively identify and mitigate potential instability. This research contributes to the advancement of quantum system stability through the application of advanced pattern recognition techniques.

DOI: 10.5281/zenodo.22264691

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