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.
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.
The emergence of 6 G technology heralds a groundbreaking era in digital connectivity, envisaging universal and seamless links. To address the intricate computational and security requirements of this revolution, the integration of quantum computing (QC) into these networks is perceived as a promising solution. The objective this study presents a comprehensive investigation into the potential roles and implications of QC within the context of 6 G technology. To address the objectives of this study, firstly, we have conducted literature survey to identify the key applications of using QC in 6 G technology. Secondly, we performed interview study with industry experts to identify the best practices related to the key application of QC in 6 G technology. Our study unfolds in two distinct stages: firstly, we identify 15 key applications of QC in 6 G technology and segmented into 4 core areas. Secondly, the literature findings were empirically validated by conducting interview study and identified 49 best practices related to one of the identified key applications of QC in 6 G technology. The outcomes of this research lay a solid foundation for understanding both the pivotal applications of QC in 6 G technology and the effective practices for its implementation, thus providing valuable insights to both academics and industry practitioners.
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.
Secure your expertise in the next frontier of wireless technology with this essential book, which provides a deep dive into the integration of machine learning and quantum computing to build the necessary infrastructure for 6G communication networks. Despite the potential benefits of 6G, the technology to enable its realization is not yet available. As a result, the development of technology to solve these challenges must be met before we can start working towards 6G. The primary applications of machine learning within 6G are to create necessary infrastructure advantages as the technology matures. Additionally, 6G communication networks use quantum computing to detect, mitigate, and prevent security vulnerabilities. By integrating machine learning and quantum computing into 5G and 6G technology, intelligent base stations will be able to make decisions for themselves, and mobile devices will be able to create dynamically adaptable clusters based on learned data. This book highlights the role of real-time network learning and the integration of quantum computing, machine learning, and quantum machine learning to enhance service quality. It provides a deep dive into the interplay of these technologies within 6G networks, starting from 5G fundamentals. The book elaborates on how these advanced technologies will underpin 6G’s architecture to meet comprehensive service demands, including those for smart city applications requiring extensive coverage, ultra-low latency, and reliable connectivity. The book details how the synergy between quantum computing, machine learning, and 6G technologies will transform communications, revolutionize markets, and enable groundbreaking applications globally. Readers will find the volume: Explores real-world scenarios for illustrating the integration of quantum computing and machine learning in 6G;Covers an extensive range of applications to illustrate the full picture of 6G that implements machine learning and quantum computing approaches;Offers expert insights through a comprehensive collection of literature reviews and research articles;Introduces the interdisciplinary innovations and potential of 6G across multiple industries. Audience Scientists, industry professionals, researchers, academicians, instructors, and students working in quantum computing and machine learning, especially in the context of advanced wireless communication technology.
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.
This study presents a strategic framework to accelerate India's quantum computing (QC) advancement by leveraging its established foundation. As qc takes root in India, the potential for transformative impact across sectors such as optimization, cryptography, and artificial intelligence becomes significant. This research traces India's growth—from indigenous technology development in the 1970s to its role as a digital economy leader—and explores how this legacy positions India for leadership in the QC domain. A comparative look at classical computing versus quantum computing (Table 1) shows how qubits enable unprecedented computational efficiency, which is essential for complex problem-solving. The framework (figure 1) prioritizes academic and industry needs, addressing skill-building, policy support, and regulatory alignment crucial for effective QC integration. This framework shows the role of universities and research centers in creating QC programs. It also encourages innovation and development of QC applications for specific fields such as healthcare, finance, and logistics. Although there are technical and infrastructure challenges, the study recommends strategies for Indian industries to start using QC, including hybrid approaches to address current limitations. By incorporating human-computer interaction principles, the framework advocates accessible, user-friendly QC platforms. Using the principles of human-computer interaction, the framework promotes easy-to-use, accessible quantum computing (QC) platforms. It evaluates India's readiness for QC by examining skills, institutional preparation, and how well it aligns with global standards. This study seeks to create a QC-ready workforce. Partnerships between industries and universities can accomplish this. The partnership will help elevate India's position in the global QC landscape. Drawing insights from the framework developed by European competencies on quantum technologies it is recommended that basic and advanced QC skills suited to India's specific needs be developed.
This research presents a modern framework that combine quantum computing and blockchain technologies to transform city management in provision for the 6G era. Quantum computing is recognized for its extraordinary processing power, while blockchain is known for its security, privacy, and transparency. these modern technologies can leverage from the 6G technologies capabilities like high speed, low latency, high bandwidth with giant connectivity. The idea of the study comes due to the few comprehensive standards and frameworks that facilitate the effective employment of these advanced technologies in the context of 6G. The proposed Quantum-Blockchain-6G (QBG) Framework main objective to leverage these emerging technologies with 6G capabilities to bridge the gap by providing the proper guidelines and framework to manage city management infrastructure with the help of efficient delivery of the required services. we used mixed method as interviews with expert, systematic literature review and case studies for this study to explore the challenges for integration of blockchain and quantum computing in 6g technology context and developed strategic framework for these challenges and evaluate its impact in the management activities in city management. This research will highlight critical challenges, relate to the quantum computing such as the complexity and cost and blockchain scalability. Furthermore, the study will investigate the integration the threads of advanced cryptographic measurement to mitigate quantum threats. This framework is precisely designed to empower cities management by utilizing the power of these emerging technologies that use 6G to meet the future connectivity demands in city management to make it smarter, faster, secure and trustworthy for the society.