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Springer eBooks

Evolution of Artificial Intelligence and Quantum Computing

Smriti Mangalaprasad Dubey, Komal Kiran Jambhale, Raashid Mehmood Hasan Shaikh, Srinath Doss

Published Jan 1, 2025• 3 citations
Publisher
DOI
10.1007/978-3-031-87931-9_2

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Quantum artificial intelligence (QAI) is a topic of study that blends quantum computing and AI. In order to investigate the possibilities of fruitful cooperation across both disciplines of computer science (CS), the authors will attempt to convey some of the relevant properties of both artificial intelligence (AI) and quantum computing (QC) from an academic point of view. The key artificial intelligence applications that can be addressed more effectively by employing the current generation of quantum computers will be covered in this chapter, along with a review of the fundamental components of quantum computing. There are several similarities between quantum computing and artificial intelligence. Quantum computing can increase the training speed and processing capability of artificial intelligence and machine learning algorithms at a lower cost. This chapter discusses the fundamental ideas that enable scientists and engineers to combine AI with quantum computing.
Artificial Intelligence (AI) research has a lot to learn from nature. My work links biology with computation and AI every day, but recently the rest of the world was reminded of the connection: The 2018 Nobel Prize in Chemistry went to Frances Arnold together with George Smith and Gregory Winter for developing major breakthroughs that are collectively called “directed evolution.” One of its uses is to improve protein functions, making them better catalysts in biofuel production. Another use is entirely outside chemistry – outside even the traditional life sciences. It’s about my main innovation that Evolution continues with Artificial Intelligence and at the field of Quantum Biology, through the Economics, until the field of Military Self-Defense.