Talk by Cameron Braunstein at MPI for Informatics explaining the foundations of quantum computing and quantum machine learning (QML) for computer scientists (recorded 03/31/2023).

Summary: This talk explains the fundamental mathematics of gate-based quantum computing. It covers three topics: single-qubit systems, multi-qubit systems, and a perspective on applications and quantum machine learning. The concepts will be demonstrated using Pennylane, a Python library for simulating quantum circuits. This conference is aimed at an audience with no prior knowledge of quantum computing/quantum physics.

00:00 Presentation
3:32 Qubits
4:02 Bra–ket notation (Dirac)
17:49 Pennylane
8:39 Measuring a qubit
18:28 Basic form Z
22:22 What is a Qubit? (Revisited)
27:27 What is a quantum gate?
33:54 Parameterized quantum gates
39:27 Intermission

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