Quantum Topology-Based Adaptive Quantum Circuit Optimization

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel quantum circuit optimization framework predicated on quantum topology. The core concept revolves around utilizing quantum entanglement "pulses" to dynamically adjust circuit parameters, thereby enhancing optimization efficiency. Traditional circuit optimization methods often involve static adjustments, which can be computationally expensive and may not fully exploit the inherent structure of the circuits. This work proposes a dynamic adjustment mechanism based on quantum entanglement, offering a significant advancement in optimizing quantum algorithms and circuit designs. The framework leverages the principles of self-maintenance inherent in topological structures, leading to improved performance and adaptability. This research explores the potential of this approach to address challenges in classical circuit optimization.

DOI: 10.5281/zenodo.22295270

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