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Applications of Quantum Artificial Intelligence: A Systematic Review
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Author(s): Dipti Chauhan (Prestige Institute of Engineering Management and Research, Indore, India), Pragya Ranka (Prestige Institute of Engineering Management and Research, Indore, India), Pritika Bahad (Prestige Institute of Engineering Management and Research, Indore, India)and Rupali Pathak (Prestige Institute of Engineering Management and Research, Indore, India)
Copyright: 2025
Pages: 24
Source title:
Integration of AI, Quantum Computing, and Semiconductor Technology
Source Author(s)/Editor(s): Brojo Kishore Mishra (NIST University, Berhampur, India)
DOI: 10.4018/979-8-3693-7076-6.ch008
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Abstract
Quantum Artificial Intelligence is an exciting new area, which integrates quantum computing with artificial intelligence (AI) in order to produce increasingly sophisticated and effective computational methods, models, and systems. The goal is to use quantum mechanics properties like superposition and entanglement to boost AI's computational power and speed. Quantum computers use quantum bits (qubits) to encode information, in contrast to classical computers, which run on binary digits (bits). Quantum computers can perform some computations faster than classical computers because qubits can exist in multiple states simultaneously. In order to achieve superior computational power in the field of artificial intelligence, this article emphasizes the importance of utilizing quantum mechanical principles. It also explores the potential uses of quantum AI, including machine learning, data analysis, and optimization issues. It deals with the state of art of semiconductors in Quantum computing.
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