基于动态内存的量子计算的自适应量子环境控制

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum computing holds immense promise for revolutionizing fields ranging from drug discovery to materials science. However, achieving practical quantum computation faces significant challenges, primarily concerning the stability and fidelity of quantum states. This paper introduces a novel approach to quantum environment control based on dynamic memory management, designed to dynamically adjust quantum system parameters and enhance quantum computation efficiency. We propose a system that iteratively adjusts parameters based on the observed quantum state, optimizing for reduced error rates and enhanced coherence. The core mechanism leverages a dynamically allocated memory bank to hold quantum state information, allowing for rapid and flexible environmental manipulation. We present a theoretical framework outlining the design, implementation considerations, and potential performance benefits of this approach. We demonstrate the efficacy of our system through simulations illustrating improved coherence and reduced error rates compared to static control methods. This work represents a significant step towards building more robust and versatile quantum computation systems.

DOI: 10.5281/zenodo.22270513

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