自适应自组态算法的量子计算模拟

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper introduces a novel approach to quantum computing simulation utilizing an adaptive self-assembly algorithm. Traditional quantum simulation methods often struggle to accurately model complex systems exhibiting self-organization, necessitating intricate parameter tuning and computationally expensive simulations. Our proposed algorithm dynamically adjusts simulation parameters based on observed system behavior, enabling a more efficient and potentially insightful exploration of system dynamics. We demonstrate the effectiveness of this approach through the simulation of a simplified, yet representative, system with significant self-similarity. This work explores the potential of incorporating adaptive mechanisms to overcome limitations inherent in current quantum simulation techniques, highlighting a promising direction for advancing the field.

DOI: 10.5281/zenodo.22263965

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