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Quantum Computing and Artificial Intelligence Training Machine and Deep Learning Algorithms on Quantum Computers - Pethuru Raj, Abhishek Kumar, Surbhi Bhatia 2023 PDF | EPUB De Gruyter BOOKS PROGRAMMING
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Quantum Computing and Artificial Intelligence Training Machine and Deep Learning Algorithms on Quantum Computers
Author: Pethuru Raj, Abhishek Kumar, Surbhi Bhatia
Year: 2023
Number of pages: 308
Format: PDF | EPUB
File size: 37.7 MB
Language: ENG

This book is to explore and explain the strategically sound capabilities at the synchronization between quantum computing and Artificial Intelligence (AI). The reader will be presented with an introduction and a deeper review of the technological trends and transitions being unearthed in the quantum computing and AI domains. Quantum artificial intelligence (QAI) is being proclaimed as the most powerful technology for the future. QAI is a strategically sound combination of two pathbreaking technologies: Artificial Intelligence (AI) and quantum computing. By running AI algorithms and models on quantum computers, it is possible for bringing in delectable revolutions and evolutions across industry verticals. However, there is a long way to traverse to build and use fault-tolerant quantum computers. AI can surmount many practical problems getting associated with quantum computers. The key use cases that can be accomplished by QAI include visual perception, speech recognition, decision-making, financial analysis, and language translation. Running AI models on quantum computers is more advantageous than running the same on conventional and classical computing.

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