Quantum Computing for Data Science Workshop
Quantum computers represent the next evolutionary step for information processing. For some specific problems quantum computers outperform their conventional counterparts. The first quantum algorithms have already been demonstrated which outperform any classical algorithm. Although quantum computers are still bleeding-edge technology, being relatively small and noisy, they are developing fast and show tremendous potential for the future.
Are you interested in quantum computing and what it might mean for data science but don’t know where to start?
Come along to the MCDS Quantum Computing Workshop and learn the basics of quantum computing and how a quantum computer operates.
You can get to know some of the fundamental quantum algorithms and see these algorithms, such as the quantum computing equivalent of SVM, operating. We aim to give you the skills to understand these algorithms and a hands-on experience implementing them using real quantum computers over the cloud.
No background in physics is required, but mathematical skills of linear algebra and complex numbers would be beneficial.
Join in for this 4 half-day workshop:
Tuesday 7 December - 1pm - 5pm - Introduction to quantum computing (Dr Charles Hill, Prof Lloyd Hollenberg)
Wednesday 8 December - 1pm - 5pm - Variational methods in quantum computing (Dr Anna Phan)
Thursday 9 December - 1pm - 5pm - Quantum SVM and Coreset Construction for Data Science (Dr Muhammad Usman, Jamie Heredge)
Friday 10 December - 9am - 12pm - A challenge classification problem using quantum computers (Dr Anna Phan, Dr Charles Hill, Prof Martin Sevior)
Spaces are limited. Sessions build on each other across the four days, it is preferable you attend all four sessions.
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