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This course on quantum machine learning (qml) is designed to explore the intersection of quantum computing and machine learning, highlighting the unique advantages and potential. Learn and develop quantum machine learning algorithms, such as quantum neural networks and quantum support vector machines. This course is focussed on a single project funded by the epsrc industrial doctoral landscape award (idla): Certified.

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A joint spinq research team developed a machine learning model that can both predict quantum system dynamics and infer hidden parameters. The goal of this course is to show what benefits current and future quantum technologies can provide to machine learning, focusing on algorithms that are challenging with classical digital. Complete python exercises, explore a powerful visualization library, and earn.

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