Quantum Computation Adaptive Topology

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum computation offers the potential for revolutionary breakthroughs across various fields, including materials science, drug discovery, and cryptography. However, current quantum algorithms often struggle to efficiently handle diverse data types and complex problems. This paper explores the concept of adaptive topology-based quantum computation, a novel approach that dynamically adjusts the computation's topology to optimize performance for specific input data. We introduce a new quantum algorithm, the Adaptive Topology Algorithm (ATA), designed to address this challenge by incorporating a mechanism for continuous topology optimization during the computation. The core claim of this work is that ATA significantly improves algorithm effectiveness compared to traditional approaches by dynamically adapting to input data, leading to enhanced solution quality. The paper details the theoretical foundation of the algorithm, presents a preliminary implementation of ATA, and discusses its potential impact on future quantum computation research.

DOI: 10.5281/zenodo.22199729

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