Quantum Topology of Adaptive Topology Generation

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

Quantum topology, a fascinating field of physics, offers a radically different approach to constructing complex systems. This paper explores the potential of quantum topology to generate highly optimized quantum algorithms and code through a novel self-adaptive topology generation method. We introduce a new algorithmic framework centered around dynamically adjusting the underlying quantum structure to achieve superior computational performance. The core mechanism leverages a self-consistent evolution of the quantum system, guided by the inherent properties of quantum topology. This approach promises significant advancements in quantum computation by enabling the creation of more efficient and versatile algorithms. This research delves into the theoretical foundations and initial implementation of this method, highlighting its potential impact on various quantum computing applications.

DOI: 10.5281/zenodo.22220351

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