Future of AI - Pragmatic Quantum Machine Learning Today

Опубликовано 30 ноября 2018, 20:57

Quantum computing’s theoretical potential to exponentially speed up deep learning stands in sharp contrast to the current reality. Implementations are imperfect, suffering from noise and poor coherence times, and scalability limitations. In this talk, we’ll explore how quantum-enhanced machine learning plays a complementary role to classical techniques, rather than acting as a replacement. We’ll discuss relevant computing paradigms such as quantum annealing and gate-model quantum computing over discrete or continuous variables that are performed efficiently with hybrid classical-quantum protocols. Get started with Machine Learning | aws.amazon.com/machine-learnin... Catch up on the excitement of re:Invent 2018 with the AWS launchpad featuring launch announcements, demos of newly launched technology, interviews with expert guests and live Q&A. AWS re:Invent is a tech education conference for the global cloud computing community hosted by Amazon Web Services. See all recordings of the AWS Launchpad at re:Invent here: youtube.com/playlist?list=PLhr... and learn more about AWS live streaming here: aws.amazon.com/twitch.