QSciTech-QuantumBC Virtual Workshop 2022: Quantum Machine Learning with Gate-Based Quantum Computing Using IBM Quantum

January 24, 27, 31, and February 3, 7, 10, 2022, Online

Quantum computing has the potential to solve problems beyond the capabilities of conventional supercomputers, and could revolutionize the advancement of several fields, including materials science, biochemistry, finance, logistics, and artificial intelligence. It is thus essential to develop concrete expertise to take advantage of the new possibilities that will arise from quantum computing. 

In 2020, the Institut Quantique (IQ) at Université de Sherbrooke joined the IBM Quantum network through the IBM Quantum Hub at IQ. The IBM Quantum Hub at IQ provides academic and industrial members with exclusive cloud access to IBM’s quantum computers and software, including a 127-qubits universal system, currently the largest one available in the industry. As the first member of the IBM Quantum Hub at IQ, CMC Microsystems offers quantum computing as a service for all Canadian academics through Canada’s National Design Network (CNDN).

To take advantage of this unique opportunity for the Canadian quantum computing community, the NSERC CREATE training programs, QSciTech and Quantum BC, have joined forces to bring to you every year a one-of-a-kind workshop to gain practical skills on using IBM’s quantum computers for real-world applications. It will allow you to develop your expertise tangibly while running calculations on real quantum computers. See below for all the details.

With support from the IBM Quantum Hub at Institut Quantique, the Stewart Blusson Quantum Matter Institute, CMC Microsystems, QSciTech, and Quantum BC invite you to join a 6-day virtual workshop at the end of January – beginning of February 2022. The workshop will focus on quantum machine learning (QML) on IBM’s gate-based quantum computers, incorporating problem-based learning, teamwork, and best practices in quantum software development. By the end of the workshop, you will be able to use the IBM Quantum platform and basic quantum computing tools to solve concrete, small-scale quantum machine learning problems. The workshop will also include poster sessions and an awards ceremony for the best student team presentations.

Target Attendees

The target audience for this workshop are graduate students, postdoctoral fellows, and undergraduate students involved in research along with other students, academics and industry members with relevant backgrounds.


  • Important: You must have an IBMid prior to registering. Acknowledgement and compliance with the IBM Quantum End User Agreement (found here https://quantum-computing.ibm.com/terms) is a requirement for joining this course, including compliance with related export restrictions. Registration to the workshop does not guarantee access to IBM’s quantum computers.
  • Knowing quantum mechanics is an asset, but is not essential. The necessary background on quantum mechanics will be presented (measurements, expectation value).
  • Having taken a university-level course in linear algebra is an essential prerequisite.
  • As the workshop will involve Python programming, only students with some experience with Python should register.
  • Having completed one of the following courses or training, or equivalent, is an asset, but not essential:


When: January 24, 27, 31, and February 3, 7, 10, 2022
Start Time: 8 am Pacific/11 am Eastern
End Time: 2:30 pm Pacific/5:30 pm Eastern

The workshop will run 4.5 hours per day in three 1.5 hour sessions. It will emphasize teamwork and problem-based learning, focusing on quantum machine learning. Included are student poster presentations, awards and prizes.

Pricing and Registration

Attendee Group Price Registration
Student* $50 Closed.
CNDN Subscriber $100
Academic $400
General $800
* The $50 registration fee applies to only students at Canadian universities.


For questions, please contact:


Course cancellations must be received in writing at least one (1) week before the beginning date of the course in question to receive a full refund of the registration fee. A cancellation made after the deadline will not receive a refund. CMC Microsystems makes no commitments on refunds for travel or accommodations.

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