Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Advances in systems analysis, software engineering, and high performance computing book series

Technology Road Mapping for Quantum Computing and Engineering

Published Jan 1, 2022• 7 citations
Publisher
DOI
10.4018/978-1-7998-9183-3

Related papers

A Gateway to Quantum Computing for Industrial Engineering

Emily L. Tucker, Mohammadhossein Mohammadisiahroudi

Quantum computing is rapidly emerging as a new computing paradigm with the potential to improve decision-making, optimization, and simulation across industries. For industrial engineering (IE) and operations research (OR), this shift introduces both unprecedented opportunities and substantial challenges. The learning curve is high, and to help researchers navigate the emerging field of quantum operations research, we provide a road map of the current field of quantum operations research. We introduce the foundational principles of quantum computing, outline the current hardware and software landscape, and survey major algorithmic advances relevant to IE/OR, including quantum approaches to linear algebra, optimization, machine learning, and stochastic simulation. We then highlight applied research directions, including the importance of problem domains for driving long-term value of quantum computers and how existing classical OR models can be reformulated for quantum hardware. Recognizing the steep learning curve, we propose pathways for IE/OR researchers to develop technical fluency and engage in this interdisciplinary domain. By bridging theory with application, and emphasizing the interplay between hardware and research development, we argue that industrial engineers are uniquely positioned to shape the trajectory of quantum computing for practical problem-solving. Ultimately, we aim to lower the barrier to entry into quantum computing, motivate new collaborations, and chart future directions where quantum technologies may deliver tangible impact for industry and academia.

arXiv:2510.20620•Oct 23, 2025•0 citations

Quantum Computing Engineering

Vladimir I. Hahanov, Svetlana V. Chumachenko, Ivan Hahanov +3 more

Springer eBooks•Jan 1, 2026•0 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 for Engineers

Osama M. Raisuddin, Suvranu De

Springer eBooks•Nov 14, 2025•0 citations

Quantum Computing for Databases: Overview and Challenges

Gongsheng Yuan, Yuxing Chen, Jiaheng Lu +4 more

In the decades, the general field of quantum computing has experienced remarkable progress since its inception. A plethora of researchers not only proposed quantum algorithms showing the power of quantum computing but also constructed the prototype of quantum computers, making it walk into our tangible reality. Those remarkable advancements in quantum computing have opened doors for novel applications, one of which is quantum databases. Researchers are trying to use a paradigm brought by quantum computing to revolutionize various aspects of database management systems. In this paper, we envision the synergy between quantum computing and databases with two perspectives: Quantum computing-enabled technology, and quantum computing-inspired technology. Based on this classification, we present a detailed overview of the research attained in this area, aiming to show the landscape of the field and draw a road map of future directions.

arXiv:2405.12511•May 21, 2024•4 citations

Quantum Computing and Information Technology: A Roadmap for the Next Decade

•Jul 4, 2026•0 citations
Quantum computing is rapidly emerging as a new computing paradigm with the potential to improve decision-making, optimization, and simulation across industries. For industrial engineering (IE) and operations research (OR), this shift introduces both unprecedented opportunities and substantial challenges. The learning curve is high, and to help researchers navigate the emerging field of quantum operations research, we provide a road map of the current field of quantum operations research. We introduce the foundational principles of quantum computing, outline the current hardware and software landscape, and survey major algorithmic advances relevant to IE/OR, including quantum approaches to linear algebra, optimization, machine learning, and stochastic simulation. We then highlight applied research directions, including the importance of problem domains for driving long-term value of quantum computers and how existing classical OR models can be reformulated for quantum hardware. Recognizing the steep learning curve, we propose pathways for IE/OR researchers to develop technical fluency and engage in this interdisciplinary domain. By bridging theory with application, and emphasizing the interplay between hardware and research development, we argue that industrial engineers are uniquely positioned to shape the trajectory of quantum computing for practical problem-solving. Ultimately, we aim to lower the barrier to entry into quantum computing, motivate new collaborations, and chart future directions where quantum technologies may deliver tangible impact for industry and academia.
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
In the decades, the general field of quantum computing has experienced remarkable progress since its inception. A plethora of researchers not only proposed quantum algorithms showing the power of quantum computing but also constructed the prototype of quantum computers, making it walk into our tangible reality. Those remarkable advancements in quantum computing have opened doors for novel applications, one of which is quantum databases. Researchers are trying to use a paradigm brought by quantum computing to revolutionize various aspects of database management systems. In this paper, we envision the synergy between quantum computing and databases with two perspectives: Quantum computing-enabled technology, and quantum computing-inspired technology. Based on this classification, we present a detailed overview of the research attained in this area, aiming to show the landscape of the field and draw a road map of future directions.