Quantum Machine Learning

Quantum Machine Learning

Archived
Course
en
English
54 h
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Conditions
  • Self-paced
  • Free Access
  • Fee-based Certificate
More info
  • 9 Sequences
  • Advanced Level

You can't access an archived course

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Course details

Syllabus

By the end of this course, students will be able to:

·       Distinguish between quantum computing paradigms relevant for machine learning

·       Assess expectations for quantum devices on various time scales

·       Identify opportunities in machine learning for using quantum resources

·       Implement learning algorithms on quantum computers in Python

Prerequisite

Linear algebra, complex numbers, calculus, intermediate Python. One of the following is highly recommended: statistical mechanics, quantum physics, machine learning.

Instructors

Peter Wittek
Assistant Professor
University of Toronto

Editor

Established in 1827, the University of Toronto has one of the strongest research and teaching faculties in North America, presenting top students at all levels with an intellectual environment unmatched in depth and breadth on any other Canadian campus.

Platform

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