TY - GEN
T1 - Quantum Artificial Intelligence
T2 - 2025 International Conference on Next Generation Communication and Information Processing, INCIP 2025
AU - Rajathi, G. Ignisha
AU - Priya, L. R.
AU - Fernando, A. Vegi
AU - Vedhapriyavadhana, R.
AU - Sasindharan, S.
AU - Mohanalin, J.
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Quantum Artificial Intelligence (QAI) stands for the combination of the exercise of 'quantum computing' and 'artificial intelligence' that drives breakthrough transformation across various industries. In this paper, it is discussed on how QAI is bringing change across industries including pharmaceuticals, finance, weather prediction, supply chain, security, smart cities, agriculture, telecommunication, and education. With quantum mechanics conceptions, QAI enhance computation ability to address more data, and enhance the algorithms. Quantum technologies have potential for attachment to AI systems and make the previously unachievable innovations with the help of overgrowing the classical models. As a conclusion, this paper also discusses its result on the methodological difficulties and ethical issues of QAI, the need to build strategic partnerships and the need for well-regulated legislation. The results extend our understanding of QAI to apprehend the future of technology and its application for solving some of the greatest problems that the world faces today.
AB - Quantum Artificial Intelligence (QAI) stands for the combination of the exercise of 'quantum computing' and 'artificial intelligence' that drives breakthrough transformation across various industries. In this paper, it is discussed on how QAI is bringing change across industries including pharmaceuticals, finance, weather prediction, supply chain, security, smart cities, agriculture, telecommunication, and education. With quantum mechanics conceptions, QAI enhance computation ability to address more data, and enhance the algorithms. Quantum technologies have potential for attachment to AI systems and make the previously unachievable innovations with the help of overgrowing the classical models. As a conclusion, this paper also discusses its result on the methodological difficulties and ethical issues of QAI, the need to build strategic partnerships and the need for well-regulated legislation. The results extend our understanding of QAI to apprehend the future of technology and its application for solving some of the greatest problems that the world faces today.
UR - https://www.scopus.com/pages/publications/105010190830
UR - https://www.scopus.com/pages/publications/105010190830#tab=citedBy
U2 - 10.1109/INCIP64058.2025.11019935
DO - 10.1109/INCIP64058.2025.11019935
M3 - Conference contribution
AN - SCOPUS:105010190830
T3 - Proceedings - International Conference on Next Generation Communication and Information Processing, INCIP 2025
SP - 321
EP - 326
BT - Proceedings - International Conference on Next Generation Communication and Information Processing, INCIP 2025
A2 - Bukya, Mahipal
A2 - Kumar, Pramod
A2 - Rawat, Sanyog
A2 - Jangid, Mahesh
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 23 January 2025 through 24 January 2025
ER -
