Quantum Computing and Machine Learning for Science and Technology Summer School
August 3-14, 2020
In light of the spread of COVID-19 and the associated uncertainty, the organizing committee has decided to postpone the school to Summer 2021. We will aim, as much as possible to preserve the program of the school and the roster of outstanding speakers. We will be announcing the precise dates of the school in the near future. We are also organizing a series of on-line seminars and tutorials to be held this Summer covering a selection of topics originally envisioned for the school.
The upcoming TRIUMF Summer Institute (TSI 2020) on Quantum Computing and Machine Learning for Science and Technology will be held at TRIUMF in Vancouver, BC, Canada from August 3rd to August 14th 2020. The school is organized by TRIUMF, Germany’s Helmholtz Association, Simon Fraser University, the University of British Columbia, and the University of Victoria.The school is aimed at equipping graduate students in quantitative disciplines with applicable skills in machine learning and introducing them to the possibilities in quantum computing and quantum machine learning.
Students will experience an overview of gate model quantum computing, a survey of classical machine learning topics including deep learning, and explore what is being done in the early stages of quantum machine learning research. TSI 2020 emphasizes a hands-on approach with large blocks of time dedicated to tutorials. The students will also become familiar with alternative quantum computing models and modern approaches to quantum computing implementations. The school will end with a two-day hackathon where students will showcase their knowledge applied to a practical problem.
Applications for TSI 2020 will be accepted from March 9 until April 19th. Successful applicants will be informed and invited to complete registration by April 24.