Название: Advances in Quantum Inspired Artificial Intelligence: Techniques and Applications
Автор: Satchidananda Dehuri, Monalisa Jena, Sarat Chandra Nayak, Margarita N. Favorskaya, Smaranda Belciug
Издательство: Springer
Год: 2025
Страниц: 247
Язык: английский
Формат: pdf (true), epub
Размер: 23.8 MB
This book advances the Artificial Intelligence (AI) techniques by strongly inspired from Quantum Computing. Quantum Computing (QC), rooted in the mysterious principles of quantum mechanics, has fascinated scientists, researchers, and visionaries for a long time. Its potential lies in changing how we compute, moving from classical bits to quantum bits (qubits), and unlocking incredible processing capabilities. At the same time, Artificial Intelligence (AI) has been on a trajectory of rapid advancement, with Deep Learning becoming proficient at tasks that were once deemed impossible. At this juncture, integrating these two fields through various means can play a pivotal role to bring a technological revolution. Bioinspired algorithms are a class of optimization techniques designed by mimicking different aspects of nature such as natural selection, brain-like processing, collective behavior, and cooperation. Bioinspired techniques have successfully addressed complex challenges across diverse fields like Artificial Intelligence, Data Science, optimization, pattern recognition, and cybersecurity. Quantum computing is a seamless integration of the quantum mechanics concepts and Computer Science algorithms.