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Quantum Computing Catalyzes Future Quantum Networks: Efficiency and Inherent Privacy
IEEE NETWORK ( IF 6.8 ) Pub Date : 5-9-2024 , DOI: 10.1109/mnet.2024.3398793
Keyi Ju 1 , Hui Zhong 2 , Xinyue Zhang 3 , Xiaoqi Qin 1 , Miao Pan 2
Affiliation  

Quantum networks show promise in enhancing the overall functional advantages of the Internet and enabling applications that are incomparable in the classical world. Supported by quantum communication, quantum networks are expected to offer almost unconditional security. However, securing personal privacy within quantum networks is of paramount importance. The aim of this paper is to extend the differential privacy (DP) framework to quantum networks, addressing the issue of personal privacy security in the future quantum networks. We begin by discussing the fundamental principles of quantum computing and DP. Additionally, in the current noisy intermediate-scale quantum (NISQ) era, unavoidable noise is inherent in quantum computing. We explore in detail how this inherent noise can be utilized to protect personal privacy while also enhancing the utility of data. Finally, we analyze several pressing challenges and open research directions in personal privacy protection within future quantum networks.

中文翻译:


量子计算促进未来量子网络:效率和固有隐私



量子网络有望增强互联网的整体功能优势并实现经典世界中无法比拟的应用。在量子通信的支持下,量子网络有望提供几乎无条件的安全性。然而,保护量子网络中的个人隐私至关重要。本文的目的是将差分隐私(DP)框架扩展到量子网络,解决未来量子网络中的个人隐私安全问题。我们首先讨论量子计算和 DP 的基本原理。此外,在当前嘈杂的中尺度量子(NISQ)时代,量子计算中不可避免地存在噪声。我们详细探讨了如何利用这种固有的噪音来保护个人隐私,同时增强数据的实用性。最后,我们分析了未来量子网络中个人隐私保护的几个紧迫挑战和开放研究方向。
更新日期:2024-08-22
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