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10 Things You Should Know About Quantum Computing and Machine Learning

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Chris Fregly
AWS, Principal Engineer

Chris Fregly is a Principal Engineer for AI and Machine Learning at Amazon Web Services (AWS) based in San Francisco, California. He is co-author of the O'Reilly Book, "Data Science on AWS." 

Chris is also the Founder of many AI-focused global meetups including the global "Data Science on AWS" Meetup.  He regularly speaks at AI and Machine Learning conferences across the world including O’Reilly AI, Open Data Science Conference (ODSC), Big Data London, Big Data Spain, and Nvidia GPU Technology Conference (GTC).

 Previously, Chris was Founder at PipelineAI where he worked with many AI-first startups and enterprises to continuously deploy ML/AI Pipelines using Spark ML, Kubernetes, TensorFlow, Kubeflow, Amazon EKS, and Amazon SageMaker.


Based on nature's operating system of quantum mechanics, quantum computing offers massive parallelism and compute power well beyond today's super-computers. In this talk, I demystify the field of quantum mechanics, quantum computing, and quantum machine learning. I will discuss the fundamentals of quantum computing, introduce various quantum machine learning algorithms, and explain how hybrid quantum-classical algorithms work together to solve todays' problems.