| June,2023 |
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| 5 Jun 1:00 pm 4:00 pmThis course will provide an introduction to the theory, formalisms and algorithms of quantum computing. The programming language will be Python; experience with Python will be assumed. Experience with quantum mechanics is not necessary; an introductory-level understanding of linear algebra will be assumed. The PennyLane quantum-computing programming framework (installation instructions here), provided by Xanadu, will be used. No experience with quantum computing will be expected. Classes will be held in the SciNet Teaching room, from 1:00-4:00pm. SciNet Teaching Room | SCMP151 - Jun 2023 |
| 6 Jun 11:00 am 12:00 pmThis six-week class will introduce neural network programming concepts, theory and techniques. The class material will begin at an introductory level, intended for those with no experience with neural networks, eventually covering intermediate-to-advanced concepts. The programming language will be Python 3.10; experience with Python programming will be assumed. The Keras neural network framework will be used for neural network programming; no experience with Keras will be expected. Lectures will be 11:00am - 12:00pm, Tuesday and Thursdays. There will be no lectures on May 30 and June 1.Format: In-person, in the SciNet teaching room (661 University Ave., suite 1140A). All lectures will be recorded. SciNet Training Room | DAT112 - Apr 2023 |
| 6 Jun 1:00 pm 4:00 pmThis course will provide an introduction to the theory, formalisms and algorithms of quantum computing. The programming language will be Python; experience with Python will be assumed. Experience with quantum mechanics is not necessary; an introductory-level understanding of linear algebra will be assumed. The PennyLane quantum-computing programming framework (installation instructions here), provided by Xanadu, will be used. No experience with quantum computing will be expected. Classes will be held in the SciNet Teaching room, from 1:00-4:00pm. SciNet Teaching Room | SCMP151 - Jun 2023 |
| 7 Jun 1:00 pm 4:00 pmThis course will provide an introduction to the theory, formalisms and algorithms of quantum computing. The programming language will be Python; experience with Python will be assumed. Experience with quantum mechanics is not necessary; an introductory-level understanding of linear algebra will be assumed. The PennyLane quantum-computing programming framework (installation instructions here), provided by Xanadu, will be used. No experience with quantum computing will be expected. Classes will be held in the SciNet Teaching room, from 1:00-4:00pm. SciNet Teaching Room | SCMP151 - Jun 2023 |
| 8 Jun 11:00 am 12:00 pmThis six-week class will introduce neural network programming concepts, theory and techniques. The class material will begin at an introductory level, intended for those with no experience with neural networks, eventually covering intermediate-to-advanced concepts. The programming language will be Python 3.10; experience with Python programming will be assumed. The Keras neural network framework will be used for neural network programming; no experience with Keras will be expected. Lectures will be 11:00am - 12:00pm, Tuesday and Thursdays. There will be no lectures on May 30 and June 1.Format: In-person, in the SciNet teaching room (661 University Ave., suite 1140A). All lectures will be recorded. SciNet Teaching Room | DAT112 - Apr 2023 |
| 8 Jun 1:00 pm 4:00 pmThis course will provide an introduction to the theory, formalisms and algorithms of quantum computing. The programming language will be Python; experience with Python will be assumed. Experience with quantum mechanics is not necessary; an introductory-level understanding of linear algebra will be assumed. The PennyLane quantum-computing programming framework (installation instructions here), provided by Xanadu, will be used. No experience with quantum computing will be expected. Classes will be held in the SciNet Teaching room, from 1:00-4:00pm. SciNet Teaching Room | SCMP151 - Jun 2023 |
