Title: Adaptive Self-Synchronous Quantum State Model

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces an Adaptive Self-Synchronous Quantum State Model, a novel approach to quantum computing that leverages quantum state self-adaptations to achieve stable and synchronized quantum states. Traditional quantum state models rely on manual design, presenting challenges in maintaining quantum coherence and stability. Our model employs a dynamically adjusted evolution rate to ensure the quantum state remains in a stable state, offering a significant advancement over existing approaches. This research explores the design principles and implementation details of this model, providing a foundation for more robust and reliable quantum computations. We present a theoretical framework and initial implementation demonstrating the model's potential to mitigate decoherence issues inherent in current quantum systems.

DOI: 10.5281/zenodo.22204332

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