Self-Adaptive Topological Control for Quantum Computing

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum computing offers the potential for exponentially faster computation compared to classical computers. However, achieving this advantage requires precise control over quantum systems, a task that is often challenging due to their inherent fragility and sensitivity to environmental perturbations. This paper investigates a novel approach to quantum computing – Self-Adaptive Topological Control (SATC) – which leverages the unique properties of topological quantum systems to dynamically adjust quantum system parameters, thereby enhancing computational efficiency. We present a theoretical framework and a preliminary implementation of SATC, demonstrating its efficacy in stabilizing complex quantum states and facilitating complex quantum algorithms. The core claim centers on the design of a SATC implementation capable of achieving significant performance gains through optimized parameter adjustments. This work introduces a new method for manipulating quantum states, offering a potential paradigm shift in the field of quantum computing.

DOI: 10.5281/zenodo.22514472

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