Quarterly Journal of Information and Communication Technology ​

Achievements of Quantum Computing in the Field of Information and Communication

Author

Department of Computer Engineering, Ma.C., Islamic Azad University, Mashhad , Iran

10.22034/apj.2026.735651
Abstract
Quantom computation is a new approach based on the principles of quantum mechanics to perform computations .Quantum computation uses unique behaviors of quantum physics to solve problems that are too complex for classical calculations .Theoretically , the connected inverters can use the interference between wave quantum states such as themselves for computations that may take millions of years .The potential use of these calculations is widespread and is used in areas such as cryptography , finance and drug discovery .With the implementation of quantum computing , several industries can be transformed . Although quantum computing can create a large transformation in the encryption and security system, they can be a threat to the privacy and digital information in the world .The reason for this is that quantum computers can easily break the toughest modern code .In this article, we intend to analyze and examine the new achievements of quantum computing in the field of information and communication technology, challenges and prospects.
                                             

Keywords


[1]    Reinsel D, Gantz J, Rydning J. The digitization of the world: from edge to core. IDC White Paper. 2018; US44413318. doi: 10.25607/IDC-2018-11
[2]    Thompson NC, Greenewald K, Lee K, Manso GF. The computational limits of deep learning. arXiv. 2020; arXiv:2007.05558. doi: 10.48550/arXiv.2007.05558
[3]    Powell JR. The quantum limit to Moore's law. Proceedings of the IEEE. 2008; 96(8): 1247-1248. doi: 10.1109/JPROC.2008.925411
[4]    Feynman RP. Simulating physics with computers. International Journal of Theoretical Physics. 1982; 21(6/7): 467-488. doi: 10.1007/BF02650179
[5]    Nielsen MA, Chuang IL. Quantum computation and quantum information: 10th anniversary edition. Cambridge: Cambridge University Press; 2010. doi: 10.1017/CBO9780511976667
[6]    Shor PW. Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer. SIAM Journal on Computing. 1997; 26(5): 1484-1509. doi: 10.1137/S0097539795293172
[7]    Grover LK. A fast quantum mechanical algorithm for database search. Proceedings of the 28th Annual ACM Symposium on Theory of Computing; 1996 May; Philadelphia, USA. p. 212-219. doi: 10.1145/237814.237866
[8]    Dalzell AM, McArdle S, Berta M, Bienias P, Chen CF, Gilyén A, et al. Quantum algorithms: A survey of applications and end-to-end complexities. arXiv. 2023; arXiv:2310.03011. doi: 10.48550/arXiv.2310.03011
[9]    Benioff P. The computer as a physical system: A microscopic quantum mechanical Hamiltonian model of computers as represented by Turing machines. Journal of Statistical Physics. 1980; 22(5): 563-591. doi: 10.1007/BF01011339
[10]  Chae E, Choi J, Kim J. An overview of qubit technologies: Superconducting, trapped ions, and photonic quantum computing. Electronics. 2024; 13(3): 522. doi: 10.3390/electronics13030522
[11]  Preskill J. Quantum Computing in the NISQ era and beyond. Quantum. 2018; 2: 79. doi: 10.22331/q-2018-08-06-79
[12]  Gambetta J. IBM Quantum Roadmap: 2025 Update. IBM Quantum Blog. 2025. Available from: https://www.ibm.com/quantum/blog/quantum-roadmap-2025 [Accessed 18th April 2026].
[13]  Wolfmayr M, Uthpala LM. The Utilization of Quantum Computing for AI Applications in Classical IT Network Environments [thesis]. Finland: Metropolia University of Applied Sciences; 2025. Available from: https://www.theseus.fi/handle/10024/896664
[14]  Grigoryan H, Petrosyan L, Hakobyan S. Quantum computing: foundations, algorithms, and emerging applications. Frontiers in Quantum Science and Technology. 2025; 4:1723319. doi: 10.3389/frqst.2025.1723319
[15]  Liao SK, Cai WQ, Liu WY, Zhang L, Li Y, Ren JG, et al. Satellite-to-ground quantum key distribution. Nature. 2017; 549(7670): 43-47. doi: 10.1038/nature23655
[16]  Biamonte J, Wittek P, Pancotti N, Rebentrost P, Wiebe N, Lloyd S. Quantum machine learning. Nature. 2017; 549(7671): 195-202. doi: 10.1038/nature24274
[17]  Farhi E, Goldstone J, Gutmann S. A quantum approximate optimization algorithm. arXiv. 2014; arXiv:1411.4028. doi: 10.48550/arXiv.1411.4028
[18]  Campbell ET, Terhal BM, Vuillot C. Roads towards fault-tolerant universal quantum computation. Nature. 2017; 549(7671): 172-179. doi: 10.1038/nature23460
[19]  Zhao J, Kumar S. Quantum software engineering: Landscape, challenges, and opportunities. ACM Transactions on Software Engineering and Methodology. 2024; 33(1): 1-38. doi: 10.1145/3625295
[20]  McCaskey A, Dumitrescu E, Liakh D, Chen M, Feng W, Humble T. Hybrid programming for near-term quantum computing systems. 2018 IEEE International Conference on Rebooting Computing (ICRC); 2018 Nov; Tysons, VA, USA. IEEE; 2018. p. 1-8. doi: 10.1109/ICRC.2018.8638598
[21]  Alagic G, Alperin-Sheriff J, Apon D, Cooper D, Dang Q, Kelsey J, et al. Status report on the third round of the NIST post-quantum cryptography standardization process. NIST Interagency Report. 2022; NIST IR 8413-upd1. doi: 10.6028/NIST.IR.8413-upd1
[22]  Arute F, Arya K, Babbush R, Bacon D, Bardin JC, Barends R, et al. Quantum supremacy using a programmable superconducting processor. Nature. 2019; 574(7779): 505-510. doi: 10.1038/s41586-019-1666-5