Machine Learning and its applications have significantly impacted how we live our lives and use technology to enhance it. Quantum computing has been one of the inevitable advances in technology that promises to take us into a new realm of computational power. This talk will be a broad general overview of what quantum computing power added to machine learning techniques could actually give us. The talk will provide a very non-technical introduction to quantum technologies and where it stands at the end of 2019 and similarly a very non technical overview of machine learning and AI. It will then describe a few example projects motivated by real problems in industry and possible approaches to solving them. The goal of the talk is to incite curiosity about the subjects, bust a few myths and hopefully leave the audience with more questions than answers.
About the speaker:
Dr Rishiraj Pravahan is co-founder and Director of INQNET (Intelligent Quantum Networks and Technology) at the AT&T Foundry in Palo Alto and a visiting scientist at Caltech. Rishiraj has created a new model for corporate innovation through collaborative research and development between, industry, government and academia. His work is focused on building quantum networks and technologies and uses of Artificial Intelligence. Prior to joining AT&T, Rishiraj worked for the ATLAS experiment at CERN where he was part of the team that discovered the Higgs Boson. Rishiraj is also a passionate teacher and advocate for science through public talks and seminars in the US, Europe, India and Latin America. His technical interests involve, understanding core networks, privacy and security of data and computation, collection, storage and analysis of sensor data and making advances in the frontiers of statistics, machine learning and Artificial Intelligence.