Fundamentals of AI, Quantum Computing, and Semiconductor Technology

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Author(s): Himadri Sekhar Das (Haldia Institute of Technology, India), Hiranmoy Maity (Pailan College of Management and Technology, India), Sudipta Banerjee (Symbiosis Institute of Technology, Pune, India & Symbiosis International University (Deemed), India)and Banibrata Bag (Haldia Institute of Technology, India)
Copyright: 2025
Pages: 28
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.ch001

Keywords: Electrical and Electronics Engineering / Engineering Science Reference / Knowledge Management and Library Science / Quantum Information & Computing

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Abstract

Artificial Intelligence (AI) encompasses systems capable of performing tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. AI includes narrow AI for specific tasks (e.g., facial recognition) and general AI for broader applications. Quantum Computing leverages quantum mechanics to process information in ways classical computers cannot. Unlike classical bits, quantum bits (qubits) can exist in multiple states simultaneously (superposition) and be interconnected (entanglement). Semiconductor Technology underpins modern electronics, enabling smaller, faster, and more efficient devices. Semiconductors, primarily silicon-based, are essential for integrated circuits. Collectively, these technologies are at the forefront of the next wave of innovation, enhancing computational capabilities and enabling transformative applications across various industries.

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