Adaptive Topological Quantum Computation

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

This paper introduces an innovative quantum computing architecture based on adaptive topological quantum computation. Traditional quantum computing faces challenges related to qubit decoherence and limited scalability. We propose a novel design that leverages the inherent topological properties of qubits to dynamically adjust their arrangement and state, enabling highly efficient quantum algorithms and computations. This architecture overcomes limitations by optimizing quantum states for specific operations, reducing the need for complex gate sequences and enhancing computational speed. The core mechanism centers around the creation of a self-correcting quantum bit array, allowing for continuous adaptation to the task at hand. The potential benefits of this approach include increased computational throughput, reduced error rates, and the ability to implement novel quantum algorithms. This work presents a fundamental shift in design principles for quantum computation, holding the promise of dramatically accelerating quantum processing.

DOI: 10.5281/zenodo.22326402

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