Core Claim: Design Adaptive Quantum Algorithms Based on Topological Structures for Rapid Quantum Computing Adaptation and Enhanced Efficiency

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

Quantum computing offers the potential for unprecedented computational power, but current limitations stem from the difficulty of designing and implementing quantum algorithms. This research introduces a novel approach to quantum algorithm design leveraging the principles of topology. We propose a new framework for constructing adaptive quantum algorithms that dynamically adjust to the specific properties of input quantum states, enabling rapid adaptation to various problems. This addresses a crucial bottleneck in quantum algorithm development, potentially unlocking significant advancements in quantum computing efficiency. The core mechanism involves constructing a topological structure that governs the evolution of quantum states during the algorithm's execution. This structure allows for the algorithm to self-organize and optimize its performance based on the input data, leading to improved results and increased adaptability. This paper details the design of this adaptive algorithm, its theoretical foundation, and preliminary experimental results demonstrating its effectiveness. The resulting algorithms demonstrate a significant improvement in performance compared to traditional quantum algorithms across a range of benchmark problems.

DOI: 10.5281/zenodo.22327360

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