基于自适应的微观量子计算算法

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel approach to quantum computing based on adaptive quantum state and entanglement manipulation. Traditional quantum algorithms often struggle to accurately simulate complex quantum systems, while adaptive quantum control offers the potential for increased computational efficiency. This work details the development of a new algorithm, termed "Dynamic Quantum Modulation" (DQM), which leverages self-adjusting parameters to dynamically control quantum states and entanglement, facilitating more precise and efficient simulation of quantum systems. We demonstrate the effectiveness of DQM through theoretical analysis and preliminary simulations, highlighting its potential to overcome limitations of existing quantum computing methods. The core mechanism centers around intelligently adjusting quantum states and entanglement to achieve a higher level of simulation fidelity and computational speed.

DOI: 10.5281/zenodo.22193339

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