Quantum State Adaptable Quantum Topology Optimization

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

Quantum state adaptivity is a burgeoning field with significant potential for advancing quantum technologies. This paper explores the application of dynamic topology optimization to quantum state adaptation, focusing on the creation of a framework to dynamically modify quantum states for enhanced stability and controllability. We propose a novel algorithm based on modeling quantum state evolution and integrating topological information theory, enabling optimization of quantum topology structures. This research addresses a critical challenge in quantum systems – maintaining robustness and precision – through a new approach that dynamically adjusts the quantum state to achieve optimal performance. The resulting framework demonstrates improved stability and controllability compared to traditional approaches, offering a promising pathway toward more efficient and reliable quantum systems.

DOI: 10.5281/zenodo.22467464

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