Hybrid computing with quantum processors
Practical AI
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Harnessing Hybrid Computing for AI
This chapter explores the integration of quantum and classical processors through variational quantum algorithms, focusing on their applications in optimizing complex cost functions. It discusses the potential of hybrid computing in advancing AI, particularly in neural network training, while emphasizing the need for accessible tools and libraries to facilitate wider engagement with quantum technologies.
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