Quantum Computing and AI: Impacts & Possibilities

Authors

  • Bhupesh Rawat Graphic Era Hill University
  • Nidhi Mehra Graphic Era Hill University
  • Ankur Singh Bist Graphic Era Hill University
  • Muhamad Yusup University of Raharja
  • Yulia Putri Ayu Sanjaya University of Raharja

DOI:

https://doi.org/10.34306/ajri.v3i2.656

Keywords:

Quantum Computing, Blockchain, Artificial Intelligence

Abstract

Quantum computing is one of the emerging technologies. Different communities and research organizations are working to bring quantum computing applications into reality. Artificial Intelligence is another emerging area and getting stable with time. This paper, the main objective is to find out the impact of quantum computing research growth for AI applications. Thus, the method used in this study uses computational methods. so that this research can be concluded regarding the growing impact of quantum computing research for a given AI application. This paper also presents the impact and possibilities of quantum computing in the field of artificial intelligence.

Downloads

Download data is not yet available.

References

C. Jones, “AI, Big data, Quantum Computing and Financial Exclusion: tempering enthusiasm and offering a human centric approach to policy.,” 2021.

G. Kim, “A QUANTUM-AI FRAMEWORK FOR EXTREME WEATHER PREDICTION,” AI4ESP, 2021.

C. Chambers-Jones, “11 AI, big data, quantum computing, and financial exclusion,” FinTech, Artificial Intelligence and the Law: Regulation and Crime Prevention, p. 125, 2021.

A. Moin, M. Challenger, A. Badii, and S. Günnemann, “MDE4QAI: Towards Model-Driven Engineering for Quantum Artificial Intelligence,” arXiv preprint arXiv:2107.06708, 2021.

A. Lele, “Quantum Computers,” in Quantum Technologies and Military Strategy, Springer, 2021, pp. 25–38.

H.-Y. Huang et al., “Power of data in quantum machine learning,” Nature communications, vol. 12, no. 1, pp. 1–9, 2021.

G. Purushothaman and N. B. Karayiannis, “Quantum neural networks (QNNs): inherently fuzzy feedforward neural networks,” IEEE Transactions on neural networks, vol. 8, no. 3, pp. 679–693, 1997.

M. Schuld, I. Sinayskiy, and F. Petruccione, “An introduction to quantum machine learning,” Contemporary Physics, vol. 56, no. 2, pp. 172–185, 2015.

R. Jozsa and N. Linden, “On the role of entanglement in quantum-computational speed-up,” Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, vol. 459, no. 2036, pp. 2011–2032, 2003.

J. I. Cirac, “Quantum computing and simulation,” Nanophotonics, vol. 10, no. 1, pp. 453–456, 2021.

J. B. Rahmad, S. Suwandi, C. K. T. Soedaryono, L. F. D. Aryanti, and D. Aprialiasari, “Analysis of The Effect of Community’s Role in CSR Activities on The Image of The Company of Minarak Brantas Gas, Inc.,” ADI Journal on Recent Innovation, vol. 3, no. 2, pp. 153–171, 2022.

L. A. Faza, P. M. Agustini, S. Maesaroh, A. C. Purnomo, and E. A. Nabila, “Motives For Purchase of Skin Care Product Users (Phenomenology Study on Women in DKI Jakarta),” ADI Journal on Recent Innovation, vol. 3, no. 2, pp. 139–152, 2022.

S. Azizah and B. P. K. Bintoro, “Determining Factors of Continuance Intention to Use QR Code Mobile Payment on Urban Millennials in Indonesia Empirical Study on Mobile Payment Funds,” ADI Journal on Recent Innovation, vol. 3, no. 2, pp. 121–138, 2022.

S. Atmadja, “A New Method for Obtaining Global Estimates of Maternal Mortality,” ADI Journal on Recent Innovation, vol. 3, no. 2, pp. 115–120, 2022.

A. Dudhat and M. A. Abbasi, “Discussion of Agile Software Development Methodology and its Relevance to Software Engineering,” ADI Journal on Recent Innovation, vol. 3, no. 1, pp. 105–114, 2021.

U. Rahardja, A. Moein, and N. Lutfiani, “Leadership, competency, working motivation and performance of high private education lecturer with institution accreditation B: Area kopertis IV Banten province,” Man India, vol. 97, no. 24, pp. 179–192, 2018.

U. Rahardja, E. P. Harahap, and S. R. Dewi, “The strategy of enhancing article citation and H-index on SINTA to improve tertiary reputation,” Telkomnika (Telecommunication Computing Electronics and Control), vol. 17, no. 2, pp. 683–692, 2019, doi: 10.12928/TELKOMNIKA.V17I2.9761.

Q. Aini, M. Budiarto, P. O. H. Putra, and U. Rahardja, “Exploring E-learning Challenges During the Global COVID-19 Pandemic: A Review,” Jurnal Sistem Informasi, vol. 16, no. 2, pp. 57–65, 2020.

Sudaryono, U. Rahardja, and E. P. Harahap, “Implementation of Information Planning and Strategies Industrial Technology 4.0 to Improve Business Intelligence Performance on Official Site APTISI,” Journal of Physics: Conference Series, vol. 1179, no. 1, pp. 0–7, 2019, doi: 10.1088/1742-6596/1179/1/012111.

U. Rahardja, Q. Aini, Y. I. Graha, and M. R. Tangkaw, “Gamification Framework Design of Management Education and Development in Industrial Revolution 4.0,” Journal of Physics: Conference Series, vol. 1364, no. 1, pp. 0–13, 2019, doi: 10.1088/1742-6596/1364/1/012035.

I. Maulid and A. Amirsyah, “Analysis of the Hajj Fund Management Based on the Fatwa of the National Sharia Council (DSN) Number 122 Concerning the Management of BPIH Fund and Special BPIH Based on Sharia Principles,” ADI Journal on Recent Innovation, vol. 3, no. 1, pp. 21–35, 2021.

M. W. Akira, H. Haritsah, A. Zulfia, and E. Prajatelistia, “Mechanical and tribological properties of nano-sized Al2O3 particles on ADC12 alloy composites with Strontium modifier produced by stir casting method,” ADI Journal on Recent Innovation, vol. 3, no. 1, pp. 9–20, 2021.

A. Hayat and A. H. Arribathi, “Multicam Studio Design Using Vmix As A Learning Media In SMK Bina Am Ma’mur: Leon Yudi Haryanto,” ADI Journal on Recent Innovation, vol. 3, no. 1, pp. 1–8, 2021.

Q. Aini, U. Rahardja, and A. Khoirunisa, “Blockchain Technology into Gamification on Education,” IJCCS (Indonesian Journal of Computing and Cybernetics Systems), vol. 14, no. 2, pp. 147–158, 2020.

Q. Aini, A. Badrianto, F. Budiarty, A. Khoirunisa, and U. Rahardja, “Alleviate Fake Diploma Problem In Education Using Block Chain Technology,” Journal of Advanced Research in Dynamical and Control Systems, vol. 12, no. 2, pp. 1821–1826, 2020, doi: 10.5373/JARDCS/V12I2/S20201225.

U. Rahardja, T. Hariguna, and Q. Aini, “Understanding the impact of determinants in game learning acceptance: An empirical study,” International Journal of Education and Practice, vol. 7, no. 3, pp. 136–145, 2019, doi: 10.18488/journal.61.2019.73.136.145.

P. A. Sunarya, U. Rahardja, L. Sunarya, and M. Hardini, “The Role Of Blockchain As A Security Support For Student Profiles In Technology Education Systems,” InfoTekJar: Jurnal Nasional Informatika dan Teknologi Jaringan, vol. 4, no. 2, pp. 203–207, 2020.

E. Guustaaf, U. Rahardja, Q. Aini, H. W. Maharani, and N. A. Santoso, “Blockchain-based Education Project,” Aptisi Transactions on Management (ATM), vol. 5, no. 1, pp. 46–61, 2021.

Q. Aini, S. Riza Bob, N. P. L. Santoso, A. Faturahman, and U. Rahardja, “Digitalization of Smart Student Assessment Quality in Era 4.0,” International Journal of Advanced Trends in Computer Science and Engineering, vol. 9, no. 1.2, pp. 257–265, Apr. 2020, doi: 10.30534/ijatcse/2020/3891.22020.

R. Mitchell, L. Schuster, and J. Drennan, “Understanding how gamification influences behaviour in social marketing,” Australasian Marketing Journal, vol. 25, no. 1, pp. 12–19, 2017.

Downloads

Published

2022-01-28

How to Cite

Rawat, B., Mehra, N., Bist, . A. S., Yusup, M., & Sanjaya, Y. P. A. (2022). Quantum Computing and AI: Impacts & Possibilities. ADI Journal on Recent Innovation, 3(2), 202–207. https://doi.org/10.34306/ajri.v3i2.656

Issue

Section

Articles