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

Building a quantum computer (invited)

Barry C. Sanders

Published Nov 5, 2020• 3 citations
Publisher

Abstract

Quantum computing has leapt from concept to commercial enterprise in four decades and now the complexities of computer hardware apply to quantum computing but with the added challenge that computer fundamentals are radically different.
DOI
10.1145/3414622.3431913

Related papers

Quantum computing with CMOS technology

M. Fernando González-Zalba

Quantum computing is poised to be the innovation driver of the next decade. Its information processing capabilities will radically accelerate drug discovery, improve online security, or even boost artificial intelligence [1]. Building a quantum computer promises to have a major positive impact in society, however building the hardware that will enable that paradigm change its one of the greatest technological challenges for humanity.

Design, Automation, and Test in Europe•Feb 1, 2021•3 citations

A blueprint for building a quantum computer

Rodney Van Meter, Dominic C. Horsman

Quantum computer architecture holds the key to building commercially viable systems.

Communications of the ACM•Sep 26, 2013•115 citations

Commercial applications of quantum computing

Francesco Bova, Avi Goldfarb B, Roger G. Melko

Despite the scientific and engineering challenges facing the development of quantum computers, considerable progress is being made toward applying the technology to commercial applications. In this article, we discuss the solutions that some companies are already building using quantum hardware. Framing these as examples of combinatorics problems, we illustrate their application in four industry verticals: cybersecurity, materials and pharmaceuticals, banking and finance, and advanced manufacturing. While quantum computers are not yet available at the scale needed to solve all of these combinatorics problems, we identify three types of near-term opportunities resulting from advances in quantum computing: quantum-safe encryption, material and drug discovery, and quantum-inspired algorithms.

EPJ Quantum Technology•Jan 29, 2021•235 citations

Quantum Computing Today

Chris Jay Hoofnagle, Simson Garfinkel

Presents the approaches to building a quantum computer, the different substrates being used to build a scalable quantum computer, the profound challenges in doing so, and finally, an outlook on how the scientific challenges and economic incentives will shape quantum computing projects.

Cambridge University Press eBooks•Nov 18, 2021•0 citations

Quantum Computing for Enterprise Data Centers: Challenges and Opportunities

Shubhum Jootun, Sameerchand Pudaruth, Sheeba Armoogum +1 more

This paper explores the challenges and opportunities to integrate quantum computing into enterprise data centers. With the significant amount of power requirements, high data consumption, and virtualization challenges that enterprise data centers face today, quantum computing has the potential to revolutionize the modus operandi of data centers. Unlike classical computing, quantum computing uses special bits called qubits, which can exist in multiple states simultaneously and are interconnected rather than being limited to just 0s and 1s to represent data. This technology promises to enhance processing capabilities to solve complex problems faster than today’s classical computers. Quantum computing could be applied in areas such as cryptography, flexible virtualization, and sustainable energy development, benefiting both current and future enterprise data centers. However, transitioning to quantum advancements involves significant blockheads related to hardware development, error correction, and integration with existing infrastructure. This paper also provides a comprehensive overview of these challenges while highlighting potential benefits, such as improved data security, accelerated data processing, and new capabilities in data analysis.

International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA)•Apr 4, 2025•2 citations

Practical quantum computers still at least a decade away

Peter H. Gwynne

Significant technical and financial issues remain towards building a large, fault-tolerant quantum computer and one is unlikely to be built within the coming decade.

Physics World•Jan 1, 2019•2 citations
Despite the scientific and engineering challenges facing the development of quantum computers, considerable progress is being made toward applying the technology to commercial applications. In this article, we discuss the solutions that some companies are already building using quantum hardware. Framing these as examples of combinatorics problems, we illustrate their application in four industry verticals: cybersecurity, materials and pharmaceuticals, banking and finance, and advanced manufacturing. While quantum computers are not yet available at the scale needed to solve all of these combinatorics problems, we identify three types of near-term opportunities resulting from advances in quantum computing: quantum-safe encryption, material and drug discovery, and quantum-inspired algorithms.
This paper explores the challenges and opportunities to integrate quantum computing into enterprise data centers. With the significant amount of power requirements, high data consumption, and virtualization challenges that enterprise data centers face today, quantum computing has the potential to revolutionize the modus operandi of data centers. Unlike classical computing, quantum computing uses special bits called qubits, which can exist in multiple states simultaneously and are interconnected rather than being limited to just 0s and 1s to represent data. This technology promises to enhance processing capabilities to solve complex problems faster than today’s classical computers. Quantum computing could be applied in areas such as cryptography, flexible virtualization, and sustainable energy development, benefiting both current and future enterprise data centers. However, transitioning to quantum advancements involves significant blockheads related to hardware development, error correction, and integration with existing infrastructure. This paper also provides a comprehensive overview of these challenges while highlighting potential benefits, such as improved data security, accelerated data processing, and new capabilities in data analysis.