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IntechOpen eBooks

Quantum Technology, Computing, and Information Science [Working Title]

Published Oct 20, 2026• 0 citations
Publisher
DOI
10.5772/intechopen.1014349

Related papers

Quantum Information Science and Technology Project

Christopher Altman

•Jul 17, 2026•0 citations

Law and Policy for the Quantum Age

Chris Jay Hoofnagle, Simson Garfinkel

It is often said that quantum technologies are poised to change the world as we know it, but cutting through the hype, what will quantum technologies actually mean for countries and their citizens? In Law and Policy for the Quantum Age, Chris Jay Hoofnagle and Simson L. Garfinkel explain the genesis of quantum information science (QIS) and the resulting quantum technologies that are most exciting: quantum sensing, computing, and communication. This groundbreaking, timely text explains how quantum technologies work, how countries will likely employ QIS for future national defense and what the legal landscapes will be for these nations, and how companies might (or might not) profit from the technology. Hoofnagle and Garfinkel argue that the consequences of QIS are so profound that we must begin planning for them today. This title is available as Open Access on Cambridge Core.

Cambridge University Press eBooks•Nov 18, 2021•45 citations

Quantum Information Technology

Y. Hirayama

NTT technical review•Jun 1, 2003•3 citations

Advancements in Quantum Computing and Information Science

Murali Krishna Pasupuleti

Abstract: The chapter "Advancements in Quantum Computing and Information Science" explores the fundamental principles, historical development, and modern applications of quantum computing. Quantum computing leverages the principles of quantum mechanics, utilizing qubits that can exist in multiple states simultaneously due to superposition and entanglement. Key milestones such as Shor's algorithm and Grover's algorithm have demonstrated quantum computing's potential to solve complex problems more efficiently than classical computers. The chapter discusses the evolution of quantum hardware, including superconducting qubits, trapped ions, and photonic qubits, and highlights significant experimental achievements like Google's demonstration of quantum supremacy.The chapter also delves into the transformative applications of quantum computing in various industries, such as finance, healthcare, energy, and logistics. Quantum simulations offer unprecedented insights into molecular interactions and material properties, while quantum cryptography ensures secure communication. Ethical considerations, including data privacy and equitable access, are emphasized alongside the potential economic and societal impacts. The future outlook of quantum computing envisions further advancements in quantum algorithms, hardware, and interdisciplinary integration, paving the way for a quantum-enabled era with profound implications for science, technology, and society. Keywords: Quantum Computing, Qubits, Superposition, Entanglement, Quantum Algorithms, Shor's Algorithm, Grover's Algorithm, Quantum Supremacy, Quantum Hardware, Quantum Cryptography, Quantum Simulations, Ethical Considerations, Economic Impact, Future Prospects. References: Campbell, Dr. R., Diffie, Dr. W., & Robinson, C. (2024). Advancements in Quantum Computing and AI May Impact PQC Migration Timelines. https://doi.org/10.20944/preprints202402.1299.v1 Haldorai, A. (2024). Advancements and Applications of Quantum Computing in Robotics. Journal of Computing and Natural Science, 053–063. Internet Archive. https://doi.org/10.53759/181x/jcns202404006 Hota, L., & Dash, P. K. (2022). A Taxonomy of Quantum Computing Algorithms. Technology Road Mapping for Quantum Computing and Engineering, 36–56. https://doi.org/10.4018/978-1-7998-9183-3.ch004 Kshirsagar, R. (2024). Robust Quantum Algorithms for Early Fault-Tolerant Quantum Computing. Quantum Information Science - Recent Advances and Computational Science Applications [Working Title]. https://doi.org/10.5772/intechopen.1004416 Lacalle, J. (2021). Discretization, the Road to Quantum Computing? Topics on Quantum Information Science. https://doi.org/10.5772/intechopen.98827 Mabuchi, H. (2003). Quantum optics and quantum information science. Optics in Computing. https://doi.org/10.1364/oc.2003.othc2 Peláez, E., Pham, M., & Shrikant, U. (2022). Quantum Technologies I: Information, Communication, and Computation. Lecture Notes on Data Engineering and Communications Technologies, 1–54. https://doi.org/10.1007/978-3-031-04613-1_1

•Jun 30, 2024•0 citations

Quantum computing : back action 2006 : Kanpur, India 6-12 March 2006

Debabrata Goswami

This conference focused on the issue of quantum computation with a very unique perspective of its back action rather than its future, which has usually been the focus. Leading international researchers working on quantum computing from computer science, information technology, physics, and chemistry present their most recent scholarly research indicating the current impact of quantum computing on science and technology.

AIP eBooks•Jan 1, 2006•0 citations

Quantum Computing: Survey and Analysis

Михайло Миколайович Савчук, Andrii Fesenko

Cybernetics and Systems Analysis•Jan 1, 2019•42 citations
It is often said that quantum technologies are poised to change the world as we know it, but cutting through the hype, what will quantum technologies actually mean for countries and their citizens? In Law and Policy for the Quantum Age, Chris Jay Hoofnagle and Simson L. Garfinkel explain the genesis of quantum information science (QIS) and the resulting quantum technologies that are most exciting: quantum sensing, computing, and communication. This groundbreaking, timely text explains how quantum technologies work, how countries will likely employ QIS for future national defense and what the legal landscapes will be for these nations, and how companies might (or might not) profit from the technology. Hoofnagle and Garfinkel argue that the consequences of QIS are so profound that we must begin planning for them today. This title is available as Open Access on Cambridge Core.
Abstract: The chapter "Advancements in Quantum Computing and Information Science" explores the fundamental principles, historical development, and modern applications of quantum computing. Quantum computing leverages the principles of quantum mechanics, utilizing qubits that can exist in multiple states simultaneously due to superposition and entanglement. Key milestones such as Shor's algorithm and Grover's algorithm have demonstrated quantum computing's potential to solve complex problems more efficiently than classical computers. The chapter discusses the evolution of quantum hardware, including superconducting qubits, trapped ions, and photonic qubits, and highlights significant experimental achievements like Google's demonstration of quantum supremacy.The chapter also delves into the transformative applications of quantum computing in various industries, such as finance, healthcare, energy, and logistics. Quantum simulations offer unprecedented insights into molecular interactions and material properties, while quantum cryptography ensures secure communication. Ethical considerations, including data privacy and equitable access, are emphasized alongside the potential economic and societal impacts. The future outlook of quantum computing envisions further advancements in quantum algorithms, hardware, and interdisciplinary integration, paving the way for a quantum-enabled era with profound implications for science, technology, and society. Keywords: Quantum Computing, Qubits, Superposition, Entanglement, Quantum Algorithms, Shor's Algorithm, Grover's Algorithm, Quantum Supremacy, Quantum Hardware, Quantum Cryptography, Quantum Simulations, Ethical Considerations, Economic Impact, Future Prospects. References: Campbell, Dr. R., Diffie, Dr. W., & Robinson, C. (2024). Advancements in Quantum Computing and AI May Impact PQC Migration Timelines. https://doi.org/10.20944/preprints202402.1299.v1 Haldorai, A. (2024). Advancements and Applications of Quantum Computing in Robotics. Journal of Computing and Natural Science, 053–063. Internet Archive. https://doi.org/10.53759/181x/jcns202404006 Hota, L., & Dash, P. K. (2022). A Taxonomy of Quantum Computing Algorithms. Technology Road Mapping for Quantum Computing and Engineering, 36–56. https://doi.org/10.4018/978-1-7998-9183-3.ch004 Kshirsagar, R. (2024). Robust Quantum Algorithms for Early Fault-Tolerant Quantum Computing. Quantum Information Science - Recent Advances and Computational Science Applications [Working Title]. https://doi.org/10.5772/intechopen.1004416 Lacalle, J. (2021). Discretization, the Road to Quantum Computing? Topics on Quantum Information Science. https://doi.org/10.5772/intechopen.98827 Mabuchi, H. (2003). Quantum optics and quantum information science. Optics in Computing. https://doi.org/10.1364/oc.2003.othc2 Peláez, E., Pham, M., & Shrikant, U. (2022). Quantum Technologies I: Information, Communication, and Computation. Lecture Notes on Data Engineering and Communications Technologies, 1–54. https://doi.org/10.1007/978-3-031-04613-1_1