Secure and Scalable Cloud-Based Quantum Computing Infrastructure for Distributed Big Data Applications
Xuanyu Zhu and Yiming Li
Guizhou University (贵州大学)
Keywords: Quantum Computing, Cloud Computing, Big Data, Quantum Error Correction, Secure Communication
Abstract
The rapid growth of big data and the increasing computational demands of data-intensive applications have exposed the limitations of classical computing systems. Quantum computing, with its potential for exponential speedups in certain computations, has emerged as a promising solution to address these challenges. However, the development and deployment of quantum computing infrastructures at scale pose significant challenges, including hardware constraints, error handling, and security concerns. This research proposes a secure and scalable cloud-based quantum computing infrastructure designed to support distributed big data applications. By leveraging the power of quantum computing, this infrastructure aims to enable efficient processing and analysis of large and complex datasets, while ensuring data security and privacy. The proposed architecture incorporates quantum error correction techniques, secure communication protocols, and scalable resource management strategies to facilitate the integration of quantum computing resources with traditional cloud computing infrastructures. Through theoretical analysis, simulations, and experimental evaluations, we demonstrate the feasibility and potential benefits of our proposed infrastructure, paving the way for the realization of practical, large-scale quantum computing applications in the era of big data.
