拓扑量子纠缠的非线性自适应计算

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper investigates the potential of topological quantum entanglement (TQE) for novel non-linear self-adaptive computation. Traditional quantum algorithms often rely on fixed gate sequences, limiting computational power. We propose a framework centered around dynamic quantum state adaptation, leveraging the unique properties of entangled qubits to achieve significant performance improvements and computational capabilities beyond classical limitations. The core mechanism involves an adaptive quantum state adjuster that responds in real-time to the algorithm's execution, dynamically adjusting the system's quantum state. This approach aims to unlock a new paradigm in quantum computing, enabling algorithms with enhanced efficiency and adaptability. The study analyzes the theoretical foundations and potential practical implementations of this concept, highlighting the challenges and opportunities for future research and development.

DOI: 10.5281/zenodo.22517163

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