Title: Adaptive Quantum Topology Mapping Optimization

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum topology, a fundamentally different approach to quantum physics, offers the potential for novel computational paradigms. This paper explores the application of adaptive quantum topology mapping optimization to enhance the performance of quantum computers. We propose a framework that dynamically adjusts the underlying topology of a quantum system, enabling automated refinement and optimization of quantum states. This is driven by the inherent adaptability of quantum topology, allowing for the exploration of complex quantum states with enhanced precision. The core mechanism involves employing a self-organizing algorithm to iteratively reshape the topology of the system, resulting in improved computational accuracy and efficiency. The study demonstrates the potential of this approach to address challenges in quantum algorithm design and optimization.

DOI: 10.5281/zenodo.22196436

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