基于自适应粒子的量子计算的计算范式

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper explores a novel computational paradigm based on adaptive particles, offering a potential pathway to significantly enhance the efficiency of quantum computations. We propose a framework that leverages the inherent adaptability of quantum particles to mitigate the computational challenges inherent in many quantum algorithms. The core mechanism involves introducing a dynamic parameterization of quantum states, enabling the system to adapt to the problem at hand, thereby reducing the computational burden. This paper details the theoretical foundations, proposed algorithm, and preliminary experimental results demonstrating the benefits of this approach. We highlight the potential for substantial improvements in quantum computation, particularly for complex problems demanding high fidelity and computational speed.

DOI: 10.5281/zenodo.22243671

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