Title: Adaptive Topological Structures for Quantum Computing Efficiency Enhancement

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum computing holds immense potential across diverse fields, but the inherent challenges of quantum error correction pose a significant obstacle to practical implementation. Quantum error correction relies heavily on maintaining the integrity of quantum states, necessitating the frequency of quantum operations – a crucial factor in determining computational efficiency. This paper investigates the application of adaptive topological structures to quantum computation, aiming to mitigate the frequency of quantum error correction through optimized topology. We propose a novel approach that leverages the inherent properties of topological circuits to dynamically adjust the quantum state, thereby reducing the required error correction rates. The study explores the impact of this adaptation on the computational efficiency of quantum algorithms, demonstrating significant improvements in performance. The core mechanism centers on the manipulation of the quantum state through topological topology, leading to a reduction in the error rate without compromising the fundamental quantum properties. This research offers a promising pathway towards more efficient and scalable quantum computation.

DOI: 10.5281/zenodo.22185016

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