Saint-Petersburg, St. Petersburg, Russian Federation
Moscow, Moscow, Russian Federation
Quantum technologies include two key high-tech areas: communications and computing. Commercialization of quantum solutions depends on the strategy of managing the corporate ecosystems, i.e., developers and consumers of innovative products. To identify future leaders of the quantum technology ecosystem, the authors studied the medium-term scientific and economic indicators of 150 large companies. Software and hardware developers (Toshiba, Huawei, etc.) are more likely to become technological leaders in quantum communications than service providers (British Telecom, Deutsche Telekom, etc.). Former leaders of electronic computer market also strive for leadership in quantum computing (IBM, Intel). Some companies have projects in both areas; for instance, Amazon, NVidia, Cisco, and NTT can become a link in the synergy of computing and communications, especially when it comes to the quantum Internet. Such industrial, logistics, and financial companies as Volkswagen, BMW, Toyota, Honda, JP Morgan, Credit Agricole, Mitsui, Airbus, and Mitsubishi focus on piloting quantum algorithms. This research may be of interest to Russian organizations responsible for the strategic development of quantum technologies. Domestic communications and computing require new ecosystem companies with extensive experience in innovative R&D.
quantum communications, quantum computing, innovation, energy industry, ecosystem, strategic management
1. Bataev AV, Bataeva KI. Evaluation of using quantum cryptography in financial institutions. Fundamental and applied research in management, economics and trade: Proceedings of the All-Russian scientific, practical and educational-methodological conference. St. Petersburg: Polytech-Press; 2023. P. 20–30. (In Russ.) https://elibrary.ru/EGFWDT
2. Ermakova EO, Erokhina AA. Quantum communications in JSC «Russian railways»: Logistical aspects. Potential of logistics of the 21st century: Youth dimension: Collection of scientific articles and scientific projects. Saint-Petersburg: Saint-Petersburg State University of Economics; 2022. 86–93. (In Russ.) https://elibrary.ru/TMJFLF
3. Kvint VL. The concept of strategizing. Kemerovo: Kemerovo State University; 2022. 170 p. (In Russ.) https://doi.org/10.21603/978-5-8353-2562-7
4. Lobov DS. R&D financing, patent activity, and development of the quantum communications market in Russia and abroad. Information Society. 2023;(5):123–133. (In Russ.) https://elibrary.ru/VIRYJJ
5. Okhotnikov AL, Ozerov AV, Tsvetkov VYa. Quantum technologys for railways. 2020;(4):34–37. (In Russ.) https://doi.org/10.34649/AT.2020.4.4.006
6. Polikarpov PV, Uvarov NK, Khomenko AD. Characteristics of ecosystems of quantum computing and prospects for their use in transport. Intellectual Technologies on Transport. 2021;(3):52–60. (In Russ.) https://doi.org/10.24412/2413-2527-2021-327-52-60
7. Rathkeen LS. The quantum communication systems of distributed registers for storing and treatment of data of technical characteristics and financial and economical parameters of investment projects for development of perspective models of autotransport. Transport: Science, technology, management. Scientific information collection. 2021;(5):61–64. (In Russ.) https://doi.org/10.36535/0236-1914-2021-05-10
8. Krepyshev DA, Lytney NN, Kosnikov MS, Burusova EV. The role of quantum computing in economic analysis. Polythematic Online Scientific Journal of Kuban State Agrarian University. 2023;(194):59–73. (In Russ.) https://elibrary.ru/IWHIVZ
9. Salygin VI, Lobov DS. Prospects for the application of quantum key distribution technologies using the example of oil and gas industry facilities. Drukerovskij Vestnik. 2023;(1):246–253. (In Russ.) https://doi.org/10.17213/2312-6469-2023-1-246-253
10. Aljaafari M. Quantum computing for social business optimization: A practitioner’s perspective. Soft Computing. 2023. https://doi.org/10.1007/s00500-023-08764-y
11. Chou Y, Chang M, Jiang Y, Kuo S, Kung S, et al. An investigation on quantum-inspired algorithms for portfolio optimization across global markets. IEEE Nanotechnology Magazine. 2024;18(4):27–34. https://doi.org/10.1109/MNANO.2024.3402755
12. Azad N. Quantum computing: A concept and business perspective. The International Conference on Software Business. 2024. https://doi.org/10.13140/RG.2.2.15183.87201
13. Azuma K. Developing a theory for a quantum internet for global quantum communication. NTT Technical Review. 2024;22(10):13–18. https://doi.org/10.53829/ntr202410ri1
14. Bova F, Goldfarb A, Melko R. Commercial applications of quantum computing. EPJ Quantum Technology. 2021;8:2. https://doi.org/10.1140/epjqt/s40507-021-00091-1
15. Gorbanyov M, Malaika M, Saadi TS. Quantum computing and the financial system: Spooky action at a distance? IMF Working Paper. 2021;(071):1–33. https://doi.org/10.5089/9781513572727.001
16. Guarda T, Torres W, Augusto MF. The impact of quantum computing on businesses. In: Gervasi O, Murgante B, Misra S, Rocha AMAC, Garau C, editors. Computational Science and Its Applications. ICCSA 2022. 2022;13380:3–14. https://doi.org/10.1007/978-3-031-10542-5_1
17. Al Natsheh A, Gbadegeshin S, Rimpiläinen A, Imamovic-Tokalic I, Zambrano A. Identifying the challenges in commercializing high technology: A case study of quantum key distribution technology. Technology Innovation Management Review. 2015;(5):26–36.
18. Räsänen M, Mäkynen H, Möttönen M, Goetz J. Path to European quantum unicorns. EPJ Quantum Technology. 2021;8:5. https://doi.org/10.1140/epjqt/s40507-021-00095-x
19. Prakash P. Enhancing business performance through quantum electronic analysis of optical data. Optical and Quantum Electronics. 2023;55:1056. https://doi.org/10.1007/s11082-023-05347-x
20. Dutta S, Innan N, Marchisio A, Yahia SB, Shafique M. QADQN: Quantum attention deep q-network for financial market prediction. 2024 IEEE International Conference on Quantum Computing and Engineering (QCE). 2024. Preprint. https://doi.org/10.48550/arXiv.2408.03088
21. Rebentrost P, Luongo A, Cheng B, Bosch S, Lloyd S. Quantum computational finance for martingale asset pricing in incomplete markets. Scientific Reports. 2024;14:18941. https://doi.org/10.1038/s41598-024-68838-1
22. Bayerstadler A, Becquin G, Binder J, Botter T, Ehm H, et al. Quantum technology and application consortium – QUTAC., Industry quantum computing applications. EPJ Quantum Technology. 2021;8:25. https://doi.org/10.1140/epjqt/s40507-021-00114-x
23. Sáez-Ortuño L, Huertas-Garcia R, Forgas-Coll S, Sánchez-García J, Puertas-Prats E. Quantum computing for market research. Journal of Innovation & Knowledge. 2024;9(3):100510. https://doi.org/10.1016/j.jik.2024.100510
24. Cavaliere F, Prati E, Poti L, Muhammad I, Catuogno T. Secure quantum communication technologies and systems: From labs to markets. Quantum Reports. 2020;2:80–106. https://doi.org/10.3390/quantum2010007
25. Srivastava R, Choi I, Cook T. The commercial prospects for quantum computing. Networked Quantum Information Technologies. 2016;(1):1–40.
26. Stamatopoulos N, Mazzola G, Woerner S, Zeng WJ. Towards quantum advantage in financial market risk using quantum gradient algorithms. Quantum. 2022;6:770. https://doi.org/10.22331/q-2022-07-20-770
27. Vaddy RK, Dhamodharan B, Jain A. Quantum computing applications in real-time route optimization for supply chains. Quantum Computing and Supply Chain Management. Hershley: IGI Global; 2024. 310 p. https://doi.org/10.4018/979-8-3693-4107-0.ch008



