20 Nov/20
10:30 - 12:30 (Europe/Zürich)

A practical introduction to quantum computing: from qubits to quantum machine learning and beyond (3/7)

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 3: One and two-qubit systems (Part 2) 
Quantum computing is one the most promising new trends in information processing. In this session, we will introduce from scratch the basic concepts of the quantum circuit model (qubits, gates and measures) and use them to study some of the most important quantum algorithms and protocols, including those that can be implemented with a few qubits (BB84, quantum teleportation, superdense coding...) as well as those that require multi-qubit systems (Deutsch-Jozsa, Grover, Shor.)