11 Dec/20
10:30 - 12:30 (Europe/Zürich)

A practical introduction to quantum computing: from qubits to quantum machine learning and beyond (6/7)

General description of the course
The focus of the course will be on the practical aspects of quantum computing and on the implementation of algorithms in quantum simulators and actual quantum computers (as the ones available on the IBM Quantum Experience and D-Wave Leap). No previous knowledge of quantum physics is required and, from the mathematical point of view, only a good command of basic linear algebra is assumed. Some familiarity with the python programming language would be helpful, but is not required either. 

Lecture 6: Quantum variational algorithms and quantum machine learning
In this session, we will introduce Variational Quantum Eigensolver and Quantum Machine Learning (QSVM, QGAN, Quantum Classifiers...)