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Advanced Quantum Technologies

In‐Network Quantum Computing for Future 6G Networks

Helen Urgelles, Shivam Maheshwari, Swaraj Shekhar Nande, Riccardo Bassoli, Frank H. P. Fitzek, José F. Monserrat

Published Mar 10, 2024• 24 citations
Publisher

Abstract

Abstract In light of the imperative for expeditious data processing and enhanced global connectivity, the domain of communication technology is experiencing a rapid progression from the Fifth Generation (5G) to the forthcoming Sixth Generation (6G) within the research community. Furthermore, 6G promises to significantly augment the synergy between the human, digital, and physical realms, thereby necessitating the formulation of novel Key Performance Indicators (KPIs) as well as Key Values Indicators (KVIs), and the assimilation of commensurate technologies. Among these technologies, quantum computing is evolving rapidly due to its inherent advantages from quantum mechanics. Nevertheless, scant attention is directed toward a comprehensive exploration of the consequences attendant to its present‐day application. The principal objective of this article resides in its endeavor to underscore, from a compensatory perspective, the convergence of 6G and quantum computing while concurrently considering the Sustainable Development Goals and its KVIs.

DOI
10.1002/qute.202300334

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Abstract In light of the imperative for expeditious data processing and enhanced global connectivity, the domain of communication technology is experiencing a rapid progression from the Fifth Generation (5G) to the forthcoming Sixth Generation (6G) within the research community. Furthermore, 6G promises to significantly augment the synergy between the human, digital, and physical realms, thereby necessitating the formulation of novel Key Performance Indicators (KPIs) as well as Key Values Indicators (KVIs), and the assimilation of commensurate technologies. Among these technologies, quantum computing is evolving rapidly due to its inherent advantages from quantum mechanics. Nevertheless, scant attention is directed toward a comprehensive exploration of the consequences attendant to its present‐day application. The principal objective of this article resides in its endeavor to underscore, from a compensatory perspective, the convergence of 6G and quantum computing while concurrently considering the Sustainable Development Goals and its KVIs.
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As the world prepares for the advent of 6G networks, quantum technologies are becoming critical enablers of the next generation of communication systems. This survey paper investigates the convergence of quantum technologies and 6G networks, focusing on their applications, opportunities and challenges. We begin with an examination of the motivations for integrating quantum technologies into 6G, investigating the potential to overcome the limits of classical computing and cryptography. We then highlight key research gaps, particularly in quantum communication, quantum computing integration and security enhancement. A comprehensive overview of quantum technologies relevant to 6G, including quantum communication devices, quantum computing paradigms, and hybrid quantum-classical approaches is provided. A particular focus is on the role of quantum technologies in enhancing 6G Radio Access Networks (RAN), 6G core and edge network optimization, and 6G security. The survey paper also explores the application of quantum cryptography with a focus on Quantum Key Distribution (QKD), Quantum Secure Direct Communication (QSDC) and quantum-resistant cryptographic algorithms and assesses their implementation challenges and potential impact on 6G networks. We also discuss the significant challenges associated with integrating quantum technologies into existing communications infrastructures, including issues of technological maturity, standardization, and economic considerations. Finally, we summarize the lessons learned from current research and outline future research directions to guide the ongoing development of quantum-enabled 6G networks.
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Quantum computing is a technology that utilizes quantum mechanics principles such as superposition and entanglement to offer significant advantages over classical computing.With the development of sixth generation (6G) technology quantum computing's high data processing capacity, efficiency in optimization processes, and contribution to secure communication systems are becoming increasingly important.This paper examines the role of quantum computing in 6G networks.It discusses its potential contributions in areas such as network optimization, quantum machine learning, secure communication protocols, and fault-tolerant computing.The ultra-low latency, high data rate, and dynamic spectrum management requirements of 6G can be significantly improved by integrating quantum algorithms and hybrid quantum-classical systems.However, obstacles such as current limitations in quantum hardware, error correction requirements, and implementation challenges are also considered in detail.The paper outlines the potential solutions that quantum computing can provide to meet the performance demands of 6G, and discusses future research directions to further explore this promising technology intersection.
This study investigates the challenges associated with the implementation of quantum computing (QC) in the context of 6G technology. It builds upon prior research to explore the pivotal role QC plays in shaping the future landscape of telecommunications. Through an in-depth analysis, we identify and examine key application areas of QC within the realm of 6G, drawing insights from existing literature. By dissecting these challenges, our research aims to enhance understanding of the effective integration of QC into 6G networks, offering valuable insights for both industry practitioners and academic scholars. Ultimately, this study underscores the transformative potential of QC within the framework of 6G technology and lays a foundation for further exploration in this rapidly evolving field.
Sixth generation (6G) wireless technology introduces a paradigm shift and fundamental transformation of digital wireless connectivity by converging pillars of softwarization, virtualization, and wireless networks. Terahertz (THz) communication technologies are predicted to become more significant in 6G applications as the requirement for bandwidth grows and wireless cell sizes shrink. As a result, 6G will be able to deal with and manage numerous devices and services requiring enhanced spectral throughput and efficiently work with high interference levels. This convergence highlights the increased threat surface of 6G networks and the potentially severe impacts of sophisticated cyber incidents. Furthermore, the heterogeneity of connected devices and provided services will generate a huge amount of data to be processed and managed efficiently. Quantum computing (QC) can efficiently solve several 6G computationally hard problems with a quadratic speedup and provide adaptive techniques for controlling the current and future significant security threats of the 6G network. This article discusses the role of various QC components in 6G and explores the opportunities and challenges of achieving such transformation.