Adaptive Topology Quantum Computation

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper presents a novel approach to quantum computing utilizing adaptive topology. The core idea is to design a quantum computation model that dynamically adjusts its topological structure to optimize performance and address complex problems. We introduce a new framework, "Quantum Morphing," that automatically refines the quantum state to achieve desired outcomes. The research demonstrates the effectiveness of this approach in solving specific problems, highlighting its potential to surpass traditional methods in terms of computational complexity and algorithm design. The proposed model leverages a self-consistent evolution of the quantum state, guided by a dynamically adjusting topology. This allows for the creation of highly complex quantum circuits with reduced error rates.

DOI: 10.5281/zenodo.22187442

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