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Leveraging Quantum Technology to Enhance Community Services and Supportive ICT Infrastructure

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Innovations for Community Services (I4CS 2024)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2109))

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Abstract

This article explores the transformative potential of quantum technology in community services, emphasising quantum sensing, quantum computing algorithms, and quantum communication. Community services, spanning healthcare, education, and environmental conservation, are crucial for resident well-being. Quantum technology, rooted in principles like superposition and entanglement, is presented as a game-changer. Quantum sensing offers unparalleled precision, benefiting environmental monitoring, traffic management, and healthcare diagnostics. Quantum computing algorithms, leveraging qubits, promise breakthroughs in resource allocation, data analysis, and telecommunications optimisation. Quantum communication, particularly quantum key distribution, ensures secure data transmission, safeguarding sensitive information in fields like finance and healthcare. The article envisions a future where quantum technology optimises community services, fostering data accuracy, speed, and privacy. The collaborative incorporation of quantum technology into ICT infrastructure is crucial for realising these advancements and enhancing community well-being. The recommendations stress enhancing ICT infrastructure for seamless quantum technology integration. Quantum-safe encryption, high-speed communication networks, and quantum-ready data centres are crucial. Collaboration among stakeholders is deemed essential for identifying applications and ensuring comprehensive integration.

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References

  1. Acín, A., Bloch, I., et al.: The quantum technologies roadmap: a European community view. New J. Phys. 20(8), 080201 (2018)

    Article  Google Scholar 

  2. Attema, T., Diogo Duarte, J., et al.: The PQC migration handbook. Tech. rep, Dutch National Cryptostrategy (NCS) (2023)

    Google Scholar 

  3. Azzaoui, A.E., Sharma, P.K., Park, J.H.: Blockchain-based delegated quantum cloud architecture for medical big data security. J. Netw. Comput. Appl. 198, 103304 (2022)

    Article  Google Scholar 

  4. Bennett, C.H., Brassard, G.: Quantum cryptography: Public key distribution and coin tossing. In: Proc. IEEE International Conference on Computers Systems and Signal Processing, pp. 175–179 (1984)

    Google Scholar 

  5. Bennett, C.H., Brassard, G., Mermin, N.D.: Quantum cryptography without Bell’s theorem. Phys. Rev. Lett. 68(5), 557 (1992)

    Article  MathSciNet  Google Scholar 

  6. Bongs, K., Bennett, S., Lohmann, A.: Quantum sensors will start a revolution-if we deploy them right. Nature 617(7962), 672–675 (2023)

    Article  Google Scholar 

  7. Bouzidi, Z., Boudries, A., Amad, M.: Enhancing crisis management because of deep learning, big data and parallel computing environment: survey. In: 2021 International Conference on Electrical Communication, and Comparative. Engineering, pp. 1–7. IEEE (2021)

    Google Scholar 

  8. Van den Brink, R., Phillipson, F., Neumann, N.M.: Vision on next level quantum software tooling. Computation Tools (2019)

    Google Scholar 

  9. Chakrabarti, K.: Is There Any Spooky Action at a Distance? In: Maji, A.K., Saha, G., Das, S., Basu, S., Tavares, J.R.S. (eds.) Proceedings of the International Conference on Computing and Communication Systems. LNNS, vol. 170, pp. 669–682. Springer, Singapore (2021). https://doi.org/10.1007/978-981-33-4084-8_65

    Chapter  Google Scholar 

  10. Chiani, M., Paolini, E., Callegati, F.: Open issues and beyond 5G. 5G Italy White eBook: from Research to Market, pp. 01–11 (2018)

    Google Scholar 

  11. Chiscop, I., Nauta, J., Veerman, B., Phillipson, F.: A hybrid solution method for the multi-service location set covering problem. In: Krzhizhanovskaya, V.V. (ed.) ICCS 2020. LNCS, vol. 12142, pp. 531–545. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-50433-5_41

    Chapter  Google Scholar 

  12. Choi, C.Q., Fairley, P., et al.: Sensors: a guide to the quantum-sensor boom: atomic scale bolsters sensing revolutions in medicine, tech, and engineering. IEEE Spectr. 59(6), 5–13 (2022)

    Article  Google Scholar 

  13. Chugh, V., Basu, A., Kaushik, A., Basu, A.K.: Progression in quantum sensing/bio-sensing technologies for healthcare. ECS Sens. Plus 2(1), 015001 (2023)

    Article  Google Scholar 

  14. Crawford, S.E., Shugayev, R.A., et al.: Quantum sensing for energy applications: review and perspective. Adv. Quantum Technol. 4(8), 2100049 (2021)

    Article  Google Scholar 

  15. Dimitriadou, E., Lanitis, A.: A critical evaluation, challenges, and future perspectives of using artificial intelligence and emerging technologies in smart classrooms. Smart Learn. Environ. 10(1), 1–26 (2023)

    Article  Google Scholar 

  16. Dukalski, M., Rovetta, D., et al.: Quantum computer-assisted global optimization in geophysics illustrated with stack-power maximization for refraction residual statics estimation. Geophysics 88(2), V75–V91 (2023)

    Article  Google Scholar 

  17. Feynman, R.P., et al.: Simulating physics with computers. Int. J. Theor. Phys 21(6/7) (2018)

    Google Scholar 

  18. Foy, C., Zhang, L., et al.: Wide-field magnetic field and temperature imaging using nanoscale quantum sensors. ACS Appl. Mater. Interfaces. 12(23), 26525–26533 (2020)

    Article  Google Scholar 

  19. Fu, W., Xie, H., et al.: Coordinated post-disaster restoration for resilient urban distribution systems: a hybrid quantum-classical approach. Energy, p. 129314 (2023)

    Google Scholar 

  20. Giraldo-Quintero, A., Lalinde-Pulido, J.G., et al.: Using quantum computing to solve the maximal covering location problem. Comp. Urban Sci. 2(1), 43 (2022)

    Article  Google Scholar 

  21. Grover, L.K.: A fast quantum mechanical algorithm for database search. In: Proceedings of the 28th ACM Symposium on Theory of Computing, pp. 212–219 (1996)

    Google Scholar 

  22. Gupta, B.M., Dhawan, S.M., Mamdapur, G.M.N.: Quantum sensing research: a scientometric assessment of global publications during 1991-2020. Available at SSRN 4343681 (2022)

    Google Scholar 

  23. Hasan, K.F., et al.: Migrating to post-quantum cryptography: a framework using security dependency analysis. arXiv preprint. arXiv:2307.06520 (2023)

  24. Hemici, M., Zouache, D., Brahmi, B., Got, A., Drias, H.: A decomposition-based multiobjective evolutionary algorithm using simulated annealing for the ambulance dispatching and relocation problem during COVID-19. Appl. Soft Comput. 141, 110282 (2023)

    Article  Google Scholar 

  25. Henrique, P.S.R., Prasad, R.: Quantum mechanics for the future 6G cognitive ran. J. Mobile Multimedia, pp. 291–310 (2023)

    Google Scholar 

  26. Jagtenberg, C.J., Bhulai, S., van der Mei, R.D.: An efficient heuristic for real-time ambulance redeployment. Oper. Res. Health Care 4, 27–35 (2015)

    Article  Google Scholar 

  27. Jayanthi, P., Rai, B.K., Muralikrishna, I.: The potential of quantum computing in healthcare. In: Technology Road Mapping for Quantum Computing and Engineering, pp. 81–101. IGI Global (2022)

    Google Scholar 

  28. Kalaivani, V., et al.: Enhanced BB84 quantum cryptography protocol for secure communication in wireless body sensor networks for medical applications. Pers. Ubiquit. Comput. 27(3), 875 (2023)

    Article  Google Scholar 

  29. Kantsepolsky, B., Aviv, I., Weitzfeld, R., Bordo, E.: Exploring quantum sensing potential for systems applications. IEEE Access, 11 (2023)

    Google Scholar 

  30. Kong, I., Janssen, M., Bharosa, N.: Challenges in the transition towards a quantum-safe government. In: DG. O 2022: The 23rd Annual International Conference on Digital Government Research, pp. 282–292 (2022)

    Google Scholar 

  31. Kumar, A., de Jesus Pacheco, D.A., Kaushik, K., Rodrigues, J.J.: Futuristic view of the internet of quantum drones: review, challenges and research agenda. Veh. Communi. 36, 100487 (2022)

    Google Scholar 

  32. Kumar, B., Prasad, S.B., Pal, P.R., Pathak, P.: Quantum security for IoT to secure healthcare applications and their data. In: Research Anthology on Securing Medical Systems and Records, pp. 685–705. IGI Global (2022)

    Google Scholar 

  33. Martin, V., Brito, J.P., et al.: Quantum technologies in the telecommunications industry. EPJ Quantum Technol. 8(1), 19 (2021)

    Article  Google Scholar 

  34. Masuda, K., Tsuyumine, Y., Kitada, T., Hachikawa, T., Haga, T.: Optimization of delivery plan by quantum computing. Optimization 85, 1 (2023)

    Google Scholar 

  35. Mehraeen, M., Dadkhah, M., Mehraeen, A.: Investigating the capabilities of information technologies to support policymaking in COVID-19 crisis management. European J. Clin. Investig.50(11) (2020)

    Google Scholar 

  36. Muller, F., van Heesch, M.: Migration to quantum-safe cryptography: about making decisions on when, what and how to migrate to a quantum-safe situation (2020)

    Google Scholar 

  37. Murzin, D., Mapps, D.J., et al.: Ultrasensitive magnetic field sensors for biomedical applications. Sensors 20(6), 1569 (2020)

    Article  Google Scholar 

  38. Nagy, M., Nagy, N.: Intrusion detect. Quantum Sens. Network. Sens. 22(21), 8092 (2022)

    Google Scholar 

  39. Nawaz, S.J., Sharma, S.K., et al.: Quantum machine learning for 6G communication networks: state-of-the-art and vision for the future. IEEE Access 7, 46317–46350 (2019)

    Article  Google Scholar 

  40. Neumann, N., Phillipson, F., Versluis, R.: Machine learning in the quantum era. Digitale Welt 3, 24–29 (2019)

    Article  Google Scholar 

  41. Nivelkar, M., Bhirud, S.: Optimized machine learning: training and classification performance using quantum computing. In: 2021 IEEE 6th International. Conference. on Computing Communication and Automation (ICCCA), pp. 8–13. IEEE (2021)

    Google Scholar 

  42. Perumal, A.M., Nadar, E.R.S.: Architectural framework and simulation of quantum key optimization techniques in healthcare networks for data security. J. Ambient. Intell. Humaniz. Comput. 12, 7173–7180 (2021)

    Article  Google Scholar 

  43. Phillipson, F.: Quantum computing in telecommunication - a survey. Mathematics 11(15), 3423 (2023)

    Article  Google Scholar 

  44. Phillipson, F., Chiscop, I.: Multimodal Container Planning: A QUBO Formulation and Implementation on a Quantum Annealer. In: Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds.) ICCS 2021. LNCS, vol. 12747, pp. 30–44. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-77980-1_3

    Chapter  Google Scholar 

  45. Phillipson, F., Wezeman, R.S., Chiscop, I.: Indoor-outdoor detection in mobile networks using quantum machine learning approaches. Computers 10(6), 71 (2021)

    Article  Google Scholar 

  46. Piattini, M., Peterssen, G., et al.: The talavera manifesto for quantum software engineering and programming. In: QANSWER, pp. 1–5 (2020)

    Google Scholar 

  47. Pulipeti, S., Kumar, A.: Secure quantum computing for healthcare sector: a short analysis. Secu. Priv. 6(5), e293 (2023)

    Article  Google Scholar 

  48. Rawicz, A.H.: Theodore Harold Maiman and the invention of laser. In: Photonics, Devices, and Systems IV. vol. 7138, pp. 39–46. SPIE (2008)

    Google Scholar 

  49. Schmitt, S., Gefen, T., et al.: Submillihertz magnetic spectroscopy performed with a nanoscale quantum sensor. Science 356(6340), 832–837 (2017)

    Article  Google Scholar 

  50. Serrano, M.A., et al.: Minimizing incident response time in real-world scenarios using quantum computing. Softw. Qual. J. 1(32), 1–30 (2023)

    Google Scholar 

  51. Sharma, J., Mehra, P.S.: Secure communication in IOT-based UAV networks: a systematic survey. Internet of Things, p. 100883 (2023)

    Google Scholar 

  52. Shor, P.W.: Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer. SIAM Rev. 41(2), 303–332 (1999)

    Article  MathSciNet  Google Scholar 

  53. Shyry, P., et al.: Enhanced security protocols for data protection in the internet of healthcare things using quantum key distribution. Preprint (2023)

    Google Scholar 

  54. Stray, B., Lamb, A., et al.: Quantum sensing for gravity cartography. Nature 602(7898), 590–594 (2022)

    Article  Google Scholar 

  55. Suriya, M.: Machine learning and quantum computing for 5G/6G communication networks-a survey. Int. J. Intell. Network (2022)

    Google Scholar 

  56. Tang, H., Sun, W.: Theories and applications of earthquake-induced gravity variation: advances and perspectives. Earthq. Sci. 36, 1–40 (2023)

    Article  Google Scholar 

  57. Ur Rasool, R., Ahmad, H.F., et al.: Quantum computing for healthcare: a review. Future Internet 15(3), 94 (2023)

    Article  Google Scholar 

  58. Wang, S., Pei, Z., Wang, C., Wu, J.: Shaping the future of the application of quantum computing in intelligent transportation system. Intell. Converged Networks 2(4), 259–276 (2021)

    Article  Google Scholar 

  59. Zhang, J.: Quantum sensing applications with integrated lithium niobate photonic circuits. Ph.D. thesis, Stevens Inst. Technol. (2023)

    Google Scholar 

  60. Zhang, Z., Xiao, Y., et al.: 6G wireless networks: Vision, requirements, architecture, and key technologies. IEEE Veh. Technol. Mag. 14(3), 28–41 (2019)

    Article  Google Scholar 

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Phillipson, F. (2024). Leveraging Quantum Technology to Enhance Community Services and Supportive ICT Infrastructure. In: Phillipson, F., Eichler, G., Erfurth, C., Fahrnberger, G. (eds) Innovations for Community Services. I4CS 2024. Communications in Computer and Information Science, vol 2109. Springer, Cham. https://doi.org/10.1007/978-3-031-60433-1_3

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  • DOI: https://doi.org/10.1007/978-3-031-60433-1_3

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