Superconducting Quantum Computing: Adaptive Quantum State Design

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

Superconducting quantum computing offers the potential for unprecedented computational power by leveraging the quantum mechanical properties of superconducting circuits. However, achieving high precision and broad applicability requires sophisticated control over the quantum state. This paper explores a novel approach to quantum state design utilizing adaptive algorithms, aiming to dynamically adjust quantum states to optimize computations and enhance the capabilities of superconducting quantum computers. We present a theoretical framework and preliminary results demonstrating the efficacy of this approach in enhancing quantum state fidelity and enabling the implementation of complex quantum algorithms. The core mechanism focuses on leveraging the inherent dynamics of the quantum state to guide the optimization process, providing a pathway towards more precise and versatile computations. This work addresses the limitations of traditional quantum computing methods by introducing a dynamic state adjustment mechanism, paving the way for significant advancements in the field.

DOI: 10.5281/zenodo.22226852

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