基于动态自适应的量子态生成和控制

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum state generation and control are fundamental to advancing quantum computing, offering the potential for vastly more powerful calculations than classical computers. However, achieving precise control over complex quantum states remains a significant challenge. This paper introduces a novel approach to quantum state generation and control, termed "Dynamic Adaptive Quantum State Generation and Control," which utilizes self-adjusting algorithms to dynamically modulate quantum state parameters, enabling precise control and opening new avenues for quantum computation. The core mechanism involves a continuous feedback loop that adjusts the quantum state based on input data, optimizing the state for desired outcomes. This method surpasses the limitations of static control schemes, promising enhanced precision, adaptability, and the possibility of novel quantum algorithms. We present a theoretical framework and preliminary experimental results demonstrating the effectiveness of this approach in controlling quantum systems.

DOI: 10.5281/zenodo.22196044

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