Quantum Topologies for Adaptive Quantum Computing

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum Topologies offer a novel approach to quantum computation, leveraging the intricate properties of quantum geometry to create highly resilient and adaptable quantum systems. This paper investigates a framework for adaptive quantum computation based on quantum topology, focusing on the design of an algorithm that dynamically adjusts quantum state parameters based on input data. We propose a method for generating and manipulating quantum states using topological properties, demonstrating its potential to overcome limitations of conventional quantum computing. The core mechanism centers around the application of topological invariants to guide quantum state evolution, leading to enhanced computational performance. This work presents a conceptual design and preliminary results exploring the feasibility of this approach, highlighting the advantages of quantum topology in achieving more efficient and robust quantum computation.

DOI: 10.5281/zenodo.22263504

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