The frequently touted advantages of quantum computing are becoming more possible as early systems begin to appear and researchers begin to explore software. Since this developing technology focuses upon solutions for very large data sets and complex calculations, AI seems a natural application. In reality, the situation is more nuanced. There are, indeed, possibilities—particularly in machine learning—but they may demand a new approach and new types of models.
Quantum AI is now being actively pursued. It could have tremendous implications for solving complex and intractable problems, and could even bring researchers closer to a general AI. At the very least, it will provide competitive advantages to first movers who are able to harness its possibilities. It is still too early to determine how much can be gained over conventional and specialized neuromorphic processors, but recent developments are making it possible to explore this area, and interest is beginning to grow.
In the following videos, we explore quantum AI from a variety of viewpoints, from business to technical detail. The videos are a mixture of presentations and discussions available under standard YouTube license, with landing page descriptions added. Minor edits have been made where necessary.
The Race to Quantum AI (Space And Intelligence)
Published on Mar 11, 2017
The initial enthusing over AI has faded and the sci-fi scenarios are mostly over. Even with the emergence of new machine-learning techniques the ultimate goal of the field—some form of General AI—remains a distant vision. Still, powerful machine learning is spreading into new industries and areas of daily life and will heighten attention on the unintended consequences that may result.
Quantum AI The New Frontier in Artificial Intelligence (Welcome To The Future)
Published on Aug 17, 2017
A talk by Dr. Colin P. Williams, Director of Strategy & Business Development, D-Wave Systems.
Universal Deep Quantum Learning (QuICS)
Published on Oct 6, 2015
Universal Deep Quantum Learning QuICS Workshop on the Frontiers of Quantum Information and Computer Science given by Seth Lloyd (MIT). Quantum systems can generate non-classical correlations that can’t be generated by classical systems. This talk investigates whether quantum devices can recognize patterns that can’t be recognized classically. Deep quantum learning architectures are compared with deep classical learning architectures, and conditions are identified under which universal deep quantum learners can recognize patterns that can’t be recognized by classical learners.
Google’s Quantum AI Lab (The Artificial Intelligence Channel)
Published on Sep 4, 2017
Hartmut Neven talks about possible roles of quantum effects and subjective experience in Artificial Intelligence.