TRIUMF Summer Institute (2020) - Quantum Computing and Machine Learning for Science and Technology Summer School

3 Aug 2020, 09:00 → 14 Aug 2020, 17:00 Canada/Pacific

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. The students will also become familiar with alternative quantum computing models and modern approaches to quantum computing implementations. TSI 2020 emphasizes a hands-on approach, with large blocks of time dedicated to tutorials. 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.

Please register on the TSI 2020 webpage.

 

Confirmed Speakers include:

• Ferdinand Schmidt-Kaler (Johannes Gutenberg Universität Mainz)
• Nathan Killoran (Xanadu)
• Jenia Jitsev (Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich (FZJ))
• Alison Lister (UBC)
• Roman Krems (UBC)
• Olivia Di Matteo (TRIUMF)
• Wojtek Fedorko (TRIUMF)
• Sara Ejtemaee (D-Wave)

Monday, 3 August

09:00 → 09:20 Introduction and welcome

Convener: Prof. Jens Dilling (TRIUMF)

09:20 → 11:00 QC fundamentals: Theory of QC

Convener: Dr Ferdinand Schmidt-Kaler (Johannes Gutenberg Universität Mainz)

11:00 → 11:15 Coffee break

11:15 → 12:00 Hardware: Ion Trap QC

12:00 → 13:00 Lunch

13:00 → 14:00 Tutorial: Gate model QC

Convener: Dr Olivia Di Matteo (TRIUMF)

14:00 → 14:30 Coffee break

14:30 → 15:30 Tutorial: Gate model QC

Convener: Dr Olivia Di Matteo (TRIUMF)

15:30 → 18:00 Event: BBQ meet-and-greet

Tuesday, 4 August

09:00 → 11:00 QC fundamentals: Quantum algorithms I

Convener: Dr Ferdinand Schmidt-Kaler (Johannes Gutenberg Universität Mainz)

11:00 → 11:15 Coffee break

11:15 → 12:00 Hardware: Spin qubits (?)

Convener: Prof. Joe Salfi (UBC)

12:00 → 13:00 Lunch

13:00 → 14:00 Tutorial: Quantum algorithms I

Convener: Dr Olivia Di Matteo (TRIUMF)

14:00 → 14:30 Coffee break

14:30 → 15:30 Tutorial: Quantum algorithms I

Convener: Dr Olivia Di Matteo (TRIUMF)

Wednesday, 5 August

09:00 → 11:00 QC fundamentals: Quantum algorithms II

11:00 → 11:15 Coffee break

11:15 → 12:00 Hardware: D-Wave superconducting qubits

Convener: Dr Sara Ejtemaee (D-Wave Systems)

12:00 → 13:00 Lunch

13:00 → 17:00 Event: Kayaking at Deep Cove (Excursion)

18:00 → 20:00 Event: Lecturer dinner

Thursday, 6 August

09:00 → 11:00 QC fundamentals: Quantum algorithms III

11:00 → 11:15 Coffee break

11:15 → 12:00 Hardware: TBD

12:00 → 13:00 Lunch

13:00 → 14:00 Tutorial: Quantum algorithms II and III

Convener: Dr Olivia Di Matteo (TRIUMF)

14:00 → 14:30 Coffee break

14:30 → 15:30 Tutorial: Quantum algorithms II and III

Convener: Dr Olivia Di Matteo (TRIUMF)

Friday, 7 August

09:00 → 11:00 ML: Basics I

Convener: Dr Wojciech Fedorko (TRIUMF)

11:00 → 11:15 Coffee break

11:15 → 12:00 Applications: Deep learning applications at the LHC

Convener: Alison Lister (University of British Columbia)

12:00 → 13:00 Lunch

13:00 → 14:00 Tutorial: ML basics I

Convener: Dr Wojciech Fedorko (TRIUMF)

14:00 → 14:30 Coffee break

14:30 → 15:30 Tutorial: ML basics I

Convener: Dr Wojciech Fedorko (TRIUMF)

Saturday, 8 August

10:00 → 13:00 Event: Excursion (?)

Monday, 10 August

09:00 → 11:00 ML: Fundamentals of neural networks

Convener: Dr Jenia Jitsev (Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich (FZJ))

11:00 → 11:15 Coffee break

11:15 → 12:00 Applications: ML in science and engineering

Convener: Dr Roman Krems (UBC)

12:00 → 13:00 Lunch

13:00 → 14:00 Tutorial: CNN theory and implementation

14:00 → 14:30 Coffee break

14:30 → 15:30 Tutorial: CNN theory and implementation

Tuesday, 11 August

09:00 → 11:00 ML: CNNs part II

Convener: Dr Jenia Jitsev (Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich (FZJ))

11:00 → 11:15 Coffee break

11:15 → 12:00 Applications: Intro to quantum machine learning

Convener: Dr Nathan Killoran (Xanadu)

12:00 → 13:00 Lunch

13:00 → 14:00 Tutorial: Quantum neural networks

14:00 → 14:30 Coffee break

14:30 → 15:30 Tutorial: Quantum neural networks

Wednesday, 12 August

09:00 → 11:00 ML: Quantum SVM and kernel methods

Convener: Dr Nathan Killoran (Xanadu)

11:00 → 11:15 Coffee break

11:15 → 12:00 Hardware: Photonic quantum computing at Xanadu

Convener: Dr Nathan Killoran (Xanadu)

12:00 → 13:00 Lunch and hackathon preparation

13:00 → 18:00 Event: Grouse mountain hike

18:00 → 20:00 Event: Conference dinner

Thursday, 13 August

09:00 → 12:00 Hackathon

12:00 → 13:00 Lunch

13:00 → 16:00 Hackathon

16:00 → 17:00 Event: Focus groups

17:00 → 18:00 Dinner

18:00 → 23:59 Hackathon

Friday, 14 August

00:00 → 12:00 Hackathon

12:00 → 13:00 Lunch

13:00 → 14:30 Hackathon: Presentations

14:30 → 14:45 Coffee break

14:45 → 16:15 Hackathon: Presentations

16:15 → 17:00 Event: Focus groups and close-out