基于量子自旋的计算过程控制
Jincheng Zhang
Abstract
Quantum spin dynamics offer a fundamentally new approach to computation, potentially surpassing the limitations of classical algorithms. This paper investigates a novel computational process control technique leveraging the inherent adaptability of quantum spin states. We propose a method that utilizes quantum spin rotations to dynamically adjust qubit states, enabling precise control over quantum computations and enhancing their stability and efficiency. This work introduces a framework for dynamically shaping quantum states, addressing a critical challenge in quantum computing – achieving reliable and precise control over complex quantum systems. The core mechanism centers around a self-regulating spin evolution driven by external stimuli, offering a pathway towards more robust and controllable quantum algorithms. We demonstrate the effectiveness of this approach through theoretical analysis and preliminary experimental validation on a simplified quantum circuit. The results highlight the potential for significant improvements in both computational throughput and error mitigation within quantum computations.