Vedran Dunjko: A Route towards Quantum-Enhanced Artificial Intelligence

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United States QuICS
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Published on ● Video Link: https://www.youtube.com/watch?v=U90zY_7LXww


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A talk by Vedran Dunjko at the Quantum Machine Learning Workshop, hosted September 24-28, 2018 by the Joint Center for Quantum Information and Computer Science at the University of Maryland (QuICS).

Abstract: Artificial intelligence (AI) is a heavily overloaded term, which historically pertains to the development of human-level machine intelligence. What is meant by intelligence is always fuzzy, and leads to various notions of AI. In this talk we will focus on pragmatic flavours of AI, as discussed in the majority of modern AI research. These include aspects of learning and planning, features of which have already been addressed, albeit individually, from the perspective of quantum information processing. Does this mean that all the building blocks of “quantum AI” are already present? How much can quantum computing help? In this talk we will reflect on aspects of quantum machine learning and of quantum-enhanced search algorithms — including some recent results showing even small quantum computers can help — from the perspective of AI.



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Tags:
machine learning