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Creating a responsible quantum future: the case for a dedicated national resource for responsible quantum computing

Carolyn Ten Holter, Marina Denise Jirotka, Philip Inglesant

Published Jan 1, 2021• 1 citation
OpenAlex

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A call for responsible quantum technology

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Nature Physics•Apr 1, 2024•22 citations

Towards a Quantum-Resilient Future: Strategies for Transitioning to Post-Quantum Cryptography

Abdullah Aydeger, Engin Zeydan, Awaneesh Kumar Yadav +2 more

The imminent emergence of quantum computers poses unprecedented challenges to the current cryptographic standards that secure vital digital communications and data worldwide. This paper addresses the vulnerabilities of existing cryptographic systems susceptible to quantum-based attacks and emphasizes a dedicated transition plan to post-quantum cryptography (PQC). We first examine the current state of cryptographic practices, highlight the quantum threat, and present the framework and need for PQC. In addition, a comprehensive strategy is presented that encompasses the identification, protection, detection, response, and recovery phases and integrates PQC into existing security infrastructures, specifically the Cybersecurity Framework Version 2.0 of the National Institute of Standards and Technology (NIST). Methods and technologies discussed include the development of robust PQC algorithms, tools for their large-scale implementation, and hybrid cryptographic systems that combine traditional and quantum-resistant techniques. Practical implementations on various hardware and software platforms are also presented in case studies that provide real-world insight into the challenges and innovations in using PQC. We conclude with a discussion of hybrid approaches, regulatory considerations, and recommendations derived from early adopters to guide future efforts to create a quantum-resilient digital landscape.

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Andriy Horpenyuk, Olha Partyka, Agbotiname Lucky Imoize

Classical asymmetric cryptographic algorithms have formed the basis of modern cybersecurity protocols across many application areas, including intelligent healthcare systems. For decades, these algorithms have provided effective solutions for ensuring the confidentiality, authenticity, integrity and non-repudiation of information. However, asymmetric cryptographic algorithms rely on mathematical problems with empirically established (but unproven) computational hardness. The development of quantum computing algorithms capable of breaking these classical cryptosystems has created a well-recognised threat to the entire existing cybersecurity infrastructure. In response, national and international standardisation bodies have initiated the development and competitive selection of new, post-quantum cryptographic algorithms. The first such algorithms have already been standardised by the National Institute of Standards and Technology (NIST). However, the standardisation process is only the beginning of a much more complex, resource-intensive practical implementation. This chapter analyses recent advances in post-quantum cryptographic algorithms and their relevance to intelligent healthcare systems. It examines modern cryptographic approaches to healthcare data protection, identifies the main barriers to post-quantum migration in healthcare environments and proposes improvements in computational efficiency for basic cryptographic operations.

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Responsible research and innovation in quantum technology

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The Internet of Things (IoT) is expanding rapidly, which has created a need for sophisticated computational frameworks that can handle the data and security requirements inherent in modern IoT applications. However, traditional cloud computing frameworks have struggled with latency, scalability, and security vulnerabilities. Quantum-Edge Cloud Computing (QECC) is a new paradigm that effectively addresses these challenges by combining the computational power of quantum computing, the low-latency benefits of edge computing, and the scalable resources of cloud computing. This study has been conducted based on a published literature review, performance improvements, and metrics data from Bangladesh on smart city infrastructure, healthcare monitoring, and the industrial IoT sector. We have discussed the integration of quantum cryptography to enhance data integrity, the role of edge computing in reducing response times, and how cloud computing's resource abundance can support large IoT networks. We examine case studies, such as the use of quantum sensors in self-driving vehicles, to illustrate the real-world impact of QECC. Furthermore, the paper identifies future research directions, including developing quantum-resistant encryption and optimizing quantum algorithms for edge computing. The convergence of these technologies in QECC promises to overcome the existing limitations of IoT frameworks and set a new standard for the future of IoT applications.

arXiv:2405.04824•May 8, 2024•6 citations

The Future Impacts of Quantum Computing

Robson Giles

•Jan 1, 2024•0 citations
The imminent emergence of quantum computers poses unprecedented challenges to the current cryptographic standards that secure vital digital communications and data worldwide. This paper addresses the vulnerabilities of existing cryptographic systems susceptible to quantum-based attacks and emphasizes a dedicated transition plan to post-quantum cryptography (PQC). We first examine the current state of cryptographic practices, highlight the quantum threat, and present the framework and need for PQC. In addition, a comprehensive strategy is presented that encompasses the identification, protection, detection, response, and recovery phases and integrates PQC into existing security infrastructures, specifically the Cybersecurity Framework Version 2.0 of the National Institute of Standards and Technology (NIST). Methods and technologies discussed include the development of robust PQC algorithms, tools for their large-scale implementation, and hybrid cryptographic systems that combine traditional and quantum-resistant techniques. Practical implementations on various hardware and software platforms are also presented in case studies that provide real-world insight into the challenges and innovations in using PQC. We conclude with a discussion of hybrid approaches, regulatory considerations, and recommendations derived from early adopters to guide future efforts to create a quantum-resilient digital landscape.
Classical asymmetric cryptographic algorithms have formed the basis of modern cybersecurity protocols across many application areas, including intelligent healthcare systems. For decades, these algorithms have provided effective solutions for ensuring the confidentiality, authenticity, integrity and non-repudiation of information. However, asymmetric cryptographic algorithms rely on mathematical problems with empirically established (but unproven) computational hardness. The development of quantum computing algorithms capable of breaking these classical cryptosystems has created a well-recognised threat to the entire existing cybersecurity infrastructure. In response, national and international standardisation bodies have initiated the development and competitive selection of new, post-quantum cryptographic algorithms. The first such algorithms have already been standardised by the National Institute of Standards and Technology (NIST). However, the standardisation process is only the beginning of a much more complex, resource-intensive practical implementation. This chapter analyses recent advances in post-quantum cryptographic algorithms and their relevance to intelligent healthcare systems. It examines modern cryptographic approaches to healthcare data protection, identifies the main barriers to post-quantum migration in healthcare environments and proposes improvements in computational efficiency for basic cryptographic operations.
The Internet of Things (IoT) is expanding rapidly, which has created a need for sophisticated computational frameworks that can handle the data and security requirements inherent in modern IoT applications. However, traditional cloud computing frameworks have struggled with latency, scalability, and security vulnerabilities. Quantum-Edge Cloud Computing (QECC) is a new paradigm that effectively addresses these challenges by combining the computational power of quantum computing, the low-latency benefits of edge computing, and the scalable resources of cloud computing. This study has been conducted based on a published literature review, performance improvements, and metrics data from Bangladesh on smart city infrastructure, healthcare monitoring, and the industrial IoT sector. We have discussed the integration of quantum cryptography to enhance data integrity, the role of edge computing in reducing response times, and how cloud computing's resource abundance can support large IoT networks. We examine case studies, such as the use of quantum sensors in self-driving vehicles, to illustrate the real-world impact of QECC. Furthermore, the paper identifies future research directions, including developing quantum-resistant encryption and optimizing quantum algorithms for edge computing. The convergence of these technologies in QECC promises to overcome the existing limitations of IoT frameworks and set a new standard for the future of IoT applications.