Title: Adaptive Topology Optimization Algorithm for Quantum Computation

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum computation offers unparalleled computational power, but designing efficient quantum circuits remains a significant challenge. Traditional methods often struggle with complex topologies, leading to suboptimal performance and inefficient information transfer. This paper introduces an adaptive topology optimization algorithm leveraging quantum algorithms to precisely model and optimize quantum systems, dynamically adjusting topology to enhance both computational efficiency and information transmission. We demonstrate its efficacy through rigorous analysis and simulation, highlighting its potential to overcome limitations in current quantum computation paradigms. The core mechanism involves utilizing quantum state self-adaptations, quantum entanglement, and superposition to create a highly precise and optimized topology. This algorithm offers a fundamentally new approach to topology optimization, potentially unlocking significant advancements in quantum algorithm design and system performance.

DOI: 10.5281/zenodo.22295625

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