基于自适应的量子态的超导量子计算算法

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper presents a novel approach to quantum computing, leveraging adaptive quantum state parameter adjustment to enhance the stability and efficiency of quantum computations. Traditional quantum algorithms often rely on static parameter settings, limiting their potential for optimization. We propose a dynamic adjustment mechanism that allows the quantum state to evolve in real-time, optimizing quantum operations and mitigating the effects of noise. The core of our algorithm is based on a carefully designed feedback loop that adjusts parameters based on the observed quantum state. This dynamic adaptation significantly improves the resilience of quantum circuits, potentially enabling the realization of complex quantum algorithms. The implementation demonstrates the effectiveness of this approach in a simulated environment, showcasing a marked improvement in coherence and fidelity compared to existing static parameter control methods. The potential implications for quantum computing are significant, offering a pathway towards more robust and scalable quantum systems.

DOI: 10.5281/zenodo.22183414

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