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Title: Adaptive Quantum Circuit Dynamic Topology Adjustment

Jincheng Zhang

Published Aug 31, 2026• 0 citations
Publisher

Abstract

This paper introduces a novel dynamic topology adjustment mechanism for quantum circuits, leveraging the principles of quantum entanglement and quantum transformation. We propose a system that allows the circuit's topology to be dynamically modified based on input signals, ultimately aiming to enhance circuit efficiency and computational capabilities. The core of this approach involves utilizing quantum entanglement to induce topological changes, guided by a feedback loop that iteratively optimizes the circuit's structure. This results in a more robust and adaptable design compared to traditional static circuit approaches. The study focuses on demonstrating the efficacy of this dynamic topology adjustment in a specific quantum circuit implementation, highlighting its potential for improved performance in various applications. The research investigates the impact of different entanglement parameters and transformation techniques on the circuit's behavior.

DOI
10.5281/zenodo.22205179

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This paper introduces a novel approach to quantum circuit design leveraging dynamic topology. Traditional circuit design methods are often static, limiting design flexibility. We propose a method that dynamically adjusts the topology of the circuit, optimizing quantum properties and enhancing circuit performance. The core mechanism involves an iterative algorithm that governs the topology change, allowing for precise control over quantum states. The study demonstrates significant improvements in circuit fidelity and performance compared to traditional methods, validating the proposed dynamic topology approach as a promising avenue for quantum circuit design. The research focuses on enhancing the robustness and efficiency of quantum circuits through intelligent topology modulation.
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