IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v68y2022ics0160791x22000215.html

Analysis of the likelihood of quantum computing proliferation

Author

Listed:
  • Rosch-Grace, Dominic
  • Straub, Jeremy

Abstract

Quantum computing technology has demonstrated the potential to outperform classical computing systems in a variety of different areas. Worldwide, research within the past decade has included the development of quantum computing systems for key national security-related areas such as encryption, machine learning, and simulation. While some pursue quantum computing's potential to unlock the secrets of physics and to facilitate the development of new chemicals to aid all of humanity, it also has demonstrable military uses. Nation states that have access to quantum computing capabilities will have attack and defensive capabilities that states without this capability lack. Moreover, superior quantum computing resources and greater capabilities of those resources can provide possessing states with significant cyberwar fighting benefits. This paper considers how the current situation mirrors the nuclear mutual assured destruction scenario of the cold war and the more recent cybersecurity-related assured deterrence scenarios. Based on this, it discusses how there may be a perceived necessity for quantum computing development that could lead to a proliferation scenario. Herein, the benefits of increased prevalence of quantum computing technology are discussed, as are its potential weaponized uses. The potential risks to nation states of falling behind in quantum computing development are considered, and the implications for state computing development planning, based on the prospective eventuation of a quantum proliferation scenario based on an assured destruction risk, are assessed.

Suggested Citation

  • Rosch-Grace, Dominic & Straub, Jeremy, 2022. "Analysis of the likelihood of quantum computing proliferation," Technology in Society, Elsevier, vol. 68(C).
  • Handle: RePEc:eee:teinso:v:68:y:2022:i:c:s0160791x22000215
    DOI: 10.1016/j.techsoc.2022.101880
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X22000215
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techsoc.2022.101880?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Straub, Jeremy, 2019. "Mutual assured destruction in information, influence and cyber warfare: Comparing, contrasting and combining relevant scenarios," Technology in Society, Elsevier, vol. 59(C).
    2. D. Kielpinski & C. Monroe & D. J. Wineland, 2002. "Architecture for a large-scale ion-trap quantum computer," Nature, Nature, vol. 417(6890), pages 709-711, June.
    3. Weiss, Charles, 2005. "Science, technology and international relations," Technology in Society, Elsevier, vol. 27(3), pages 295-313.
    4. Jacob Biamonte & Peter Wittek & Nicola Pancotti & Patrick Rebentrost & Nathan Wiebe & Seth Lloyd, 2017. "Quantum machine learning," Nature, Nature, vol. 549(7671), pages 195-202, September.
    5. Straub, Jeremy, 2016. "Consideration of the use of autonomous, non-recallable unmanned vehicles and programs as a deterrent or threat by state actors and others," Technology in Society, Elsevier, vol. 44(C), pages 39-47.
    6. Ajagekar, Akshay & You, Fengqi, 2021. "Quantum computing based hybrid deep learning for fault diagnosis in electrical power systems," Applied Energy, Elsevier, vol. 303(C).
    7. Hooks, D. & Davis, Z. & Agrawal, V. & Li, Z., 2022. "Exploring factors influencing technology adoption rate at the macro level: A predictive model," Technology in Society, Elsevier, vol. 68(C).
    8. Nykan Mirchi & Vincent Bissonnette & Recai Yilmaz & Nicole Ledwos & Alexander Winkler-Schwartz & Rolando F Del Maestro, 2020. "The Virtual Operative Assistant: An explainable artificial intelligence tool for simulation-based training in surgery and medicine," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-15, February.
    9. Straub, Jeremy, 2021. "Defining, evaluating, preparing for and responding to a cyber Pearl Harbor," Technology in Society, Elsevier, vol. 65(C).
    10. Daniel J. Bernstein & Tanja Lange, 2017. "Post-quantum cryptography," Nature, Nature, vol. 549(7671), pages 188-194, September.
    11. Coccia, Mario, 2015. "General sources of general purpose technologies in complex societies: Theory of global leadership-driven innovation, warfare and human development," Technology in Society, Elsevier, vol. 42(C), pages 199-226.
    12. Hannesson, Rögnvaldur, 2014. "Does threat of mutually assured destruction produce quasi-cooperation in the mackerel fishery?," Marine Policy, Elsevier, vol. 44(C), pages 342-350.
    13. Hermann, Robert J., 2008. "National security challenges and competition: US defense and space R&D in a strategic context," Technology in Society, Elsevier, vol. 30(3), pages 371-381.
    14. Yu-Ao Chen & Qiang Zhang & Teng-Yun Chen & Wen-Qi Cai & Sheng-Kai Liao & Jun Zhang & Kai Chen & Juan Yin & Ji-Gang Ren & Zhu Chen & Sheng-Long Han & Qing Yu & Ken Liang & Fei Zhou & Xiao Yuan & Mei-Sh, 2021. "An integrated space-to-ground quantum communication network over 4,600 kilometres," Nature, Nature, vol. 589(7841), pages 214-219, January.
    15. repec:bla:scandj:v:88:y:1986:i:4:p:583-603 is not listed on IDEAS
    16. J. Chiaverini & D. Leibfried & T. Schaetz & M. D. Barrett & R. B. Blakestad & J. Britton & W. M. Itano & J. D. Jost & E. Knill & C. Langer & R. Ozeri & D. J. Wineland, 2004. "Realization of quantum error correction," Nature, Nature, vol. 432(7017), pages 602-605, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ko, Hyunmin & Kwon, Seokbeom, 2025. "Prominence of corporate science in quantum computing research," Technological Forecasting and Social Change, Elsevier, vol. 212(C).
    2. Saumyaranjan Sahoo & Satish Kumar & Debmalya Mukherjee & Sascha Kraus & Marina Dabić & Raj V. Mahto, 2025. "Internationalization via industry 4.0 technologies: application areas and future roadmap for international business," Management Review Quarterly, Springer, vol. 75(4), pages 3443-3470, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Isaiah Hull & Or Sattath & Eleni Diamanti & Göran Wendin, 2024. "Quantum Algorithms," Contributions to Economics, in: Quantum Technology for Economists, chapter 0, pages 37-103, Springer.
    2. Ajagekar, Akshay & You, Fengqi, 2022. "Quantum computing and quantum artificial intelligence for renewable and sustainable energy: A emerging prospect towards climate neutrality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    3. Straub, Jeremy, 2019. "Mutual assured destruction in information, influence and cyber warfare: Comparing, contrasting and combining relevant scenarios," Technology in Society, Elsevier, vol. 59(C).
    4. Abraham Itzhak Weinberg, 2025. "Hybrid Quantum-Classical Ensemble Learning for S\&P 500 Directional Prediction," Papers 2512.15738, arXiv.org.
    5. Kasper H. Nielsen & Ying Wang & Edward C. R. Deacon & Patrik I. Sund & Zhe Liu & Sven Scholz & Andreas D. Wieck & Arne Ludwig & Leonardo Midolo & Anders S. Sørensen & Stefano Paesani & Peter Lodahl, 2025. "Programmable nonlinear quantum photonic circuits," Nature Communications, Nature, vol. 16(1), pages 1-8, December.
    6. Kay M Stanney & JoAnn Archer & Anna Skinner & Charis Horner & Claire Hughes & Nicholas P Brawand & Eric Martin & Stacey Sanchez & Larry Moralez & Cali M Fidopiastis & Ray S Perez, 2022. "Performance gains from adaptive eXtended Reality training fueled by artificial intelligence," The Journal of Defense Modeling and Simulation, , vol. 19(2), pages 195-218, April.
    7. Mario Coccia, 2019. "Killer Technologies: the destructive creation in the technical change," Papers 1907.12406, arXiv.org.
    8. Wu, Jiang & Ou, Guiyan & Liu, Xiaohui & Dong, Ke, 2022. "How does academic education background affect top researchers’ performance? Evidence from the field of artificial intelligence," Journal of Informetrics, Elsevier, vol. 16(2).
    9. Costello, Christopher & Molina, Renato, 2021. "Transboundary marine protected areas," Resource and Energy Economics, Elsevier, vol. 65(C).
    10. Xinbiao Wang & Yuxuan Du & Zhuozhuo Tu & Yong Luo & Xiao Yuan & Dacheng Tao, 2024. "Transition role of entangled data in quantum machine learning," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    11. Xu, Jinying & Lu, Weisheng, 2022. "Developing a human-organization-technology fit model for information technology adoption in organizations," Technology in Society, Elsevier, vol. 70(C).
    12. Nguyen Duy Tan & Hwan-Seong Kim & Sam-Sang You & Le Ngoc Bao Long & Truong Ngoc Cuong & Duy Anh Nguyen, 2026. "Managing the container premarshalling problem to optimality using quantum-enhanced deep learning," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 28(1), pages 62-94, March.
    13. Ajagekar, Akshay & You, Fengqi, 2021. "Quantum computing based hybrid deep learning for fault diagnosis in electrical power systems," Applied Energy, Elsevier, vol. 303(C).
    14. Mario COCCIA, 2018. "Competition between basic and applied research in the organizational behaviour of public research labs," Journal of Economics Library, EconSciences Journals, vol. 5(2), pages 118-133, June.
    15. Gómez de Ágreda, Ángel, 2020. "Ethics of autonomous weapons systems and its applicability to any AI systems," Telecommunications Policy, Elsevier, vol. 44(6).
    16. Jurgita Bruneckiene & Robertas Jucevicius & Ineta Zykiene & Jonas Rapsikevicius & Mantas Lukauskas, 2019. "Assessment of Investment Attractiveness in European Countries by Artificial Neural Networks: What Competences are Needed to Make a Decision on Collective Well-Being?," Sustainability, MDPI, vol. 11(24), pages 1-23, December.
    17. Mario Coccia, 2017. "General purpose technologies in dynamic systems: visual representation and analyses of complex drivers," IRCrES Working Paper 201705, CNR-IRCrES Research Institute on Sustainable Economic Growth - Moncalieri (TO) ITALY - former Institute for Economic Research on Firms and Growth - Torino (TO) ITALY.
    18. Z.-B. Cui & Z.-Q. Wang & P.-C. Lai & Y. Wang & J.-X. Shi & P.-Y. Liu & Y.-D. Sun & Z.-C. Tian & Y.-B. Liang & B.-X. Qi & Y.-Y. Huang & Z.-C. Zhou & Y.-K. Wu & Y. Xu & L.-M. Duan & Y.-F. Pu, 2026. "Metropolitan-scale ion-photon entanglement via a quantum network node with hybrid multiplexing enhancements," Nature Communications, Nature, vol. 17(1), pages 1-10, December.
    19. Isaiah Hull & Or Sattath & Eleni Diamanti & Göran Wendin, 2024. "Quantum Technology for Economists," Contributions to Economics, Springer, number 978-3-031-50780-9, June.
    20. Mario Coccia, 2017. "The relation between typologies of executive and technological performances of nations," IRCrES Working Paper 201701, CNR-IRCrES Research Institute on Sustainable Economic Growth - Moncalieri (TO) ITALY - former Institute for Economic Research on Firms and Growth - Torino (TO) ITALY.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:teinso:v:68:y:2022:i:c:s0160791x22000215. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/technology-in-society .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.