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Title: Topological Space-Adaptive Quantum Circuit Design (TS-QC)

Jincheng Zhang

Published Aug 31, 2026• 0 citations
Publisher

Abstract

This paper introduces a novel quantum circuit design framework, Topological Space-Adaptive Quantum Circuit Design (TS-QC), that dynamically adjusts quantum circuit parameters based on input data. Traditional quantum circuit design relies heavily on manual parameter tuning, limiting design flexibility and potentially hindering performance optimization. TS-QC leverages the power of topological structures to optimize quantum circuit parameters, resulting in improved circuit performance and reliability. This work presents a practical implementation of TS-QC and demonstrates its efficacy through a series of simulations and analysis. The core mechanism centers on the application of topological optimization techniques to enhance the robustness and efficiency of quantum circuits.

DOI
10.5281/zenodo.22185831

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This paper presents the Topological Space Quantum Circuit Optimization Algorithm (TS-QC), a novel approach to quantum circuit optimization that leverages the inherent structure of topological spaces to improve circuit performance. Traditional quantum circuit optimization often relies on manual design, which can be time-consuming and limited in its adaptability. TS-QC offers a fundamentally different paradigm by directly optimizing the topological structure of quantum circuits, achieving superior results through a unique algorithmic framework. The paper details the core mechanisms behind TS-QC, including the construction of a topological representation, the optimization process, and the resulting performance enhancements. We provide a comprehensive analysis of the algorithm's effectiveness through theoretical and experimental validation, demonstrating its superior performance compared to existing optimization techniques. The paper concludes with a discussion of future research directions and potential applications.
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