基于自适应的量子态的生成与控制

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper investigates a novel approach to quantum state generation and control, leveraging adaptive parameter adjustment to dynamically tailor quantum states. Traditional quantum computing methods often rely on fixed parameters, limiting the system's versatility. Our work proposes a system that adjusts quantum state parameters based on input data, enabling more flexible and efficient quantum computation. This design incorporates a self-adaptive control mechanism to achieve this dynamic state evolution. The core claim of this paper is that the proposed method offers a significant improvement in terms of adaptability and computational efficiency compared to existing approaches. This paper details the design of the adaptive control system, explores its performance through simulations, and discusses potential future directions. Keywords: Quantum State, Adaptive Control, Quantum Computation, Self-Adaptation, Quantum Algorithm.

DOI: 10.5281/zenodo.22263650

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