Quantum Computing Catalyzes Future Quantum Networks: Efficiency and Inherent Privacy

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.

Introduction

Quantum networks have the potential to enhance the performance of the traditional Internet. Quantum networks consist of multiple independent nodes with quantum information that are connected via communication links for qubit transmission [1]. Quantum networks are enabled and advanced by the powerful computational capabilities of quantum computing and the high security of quantum communication. In some cases, quantum computing can perform complex computational tasks more efficiently than classical computing, like factoring large numbers [2], searching large databases [3], simulating quantum systems [4] etc. Techniques such as quantum key distribution provide a degree of security by utilizing quantum mechanics to detect any eavesdropping on the communication channel [5]. In short, the goal of quantum networking is to create a system with faster, more efficient computing power and a more secure level of communication.