Topological Quantum Topology Adaptive Computing

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper investigates the potential of adaptive quantum computing, a novel approach designed to enhance efficiency and robustness through dynamic algorithm adjustment. We outline a theoretical framework for a quantum computing algorithm that continuously monitors the quantum system's state, intelligently selecting and executing computational steps to optimize performance. The core mechanism centers around a self-learning process, wherein the algorithm analyzes the system's dynamics and adjusts its operational parameters. This approach aims to surpass the limitations of static algorithms by enabling a more responsive and adaptive computational paradigm. We present a preliminary model demonstrating the potential benefits of this adaptive strategy, focusing on a specific quantum system and computational task.

DOI: 10.5281/zenodo.22264277

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