# Introduction to Quantum Computing, Quantum Machine Learning and Optimization

- Institution: CERN
- Department: CERN openlab summer student lecture programme
- Speaker: Carla Sophie Rieger
- Year: 2025
- Language: English
- Subjects: Physics, Computer science
- Source: [CERN](https://videos.cern.ch/record/3023043)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

This talk starts with an introduction to the fundamental concepts of quantum mechanics and quantum computing. We then gain a basic understanding of quantum algorithms by exploring Deutsch and Grover's algorithms. Building on this, we will explore the key concepts of quantum machine learning (QML). The embedding of classical data and parameter optimisation methods as part of the general data processing pipeline for quantum networks is discussed in the context of parametrised quantum circuits. The presentation concludes with a consideration of the possible advantages and challenges in the QML domain, and with examples of CERN-specific use cases.

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## Lectures

1. [Introduction to Quantum Computing, Quantum Machine Learning and Optimization](https://invisiblenetwork.ai/learn/cern/3023043/c8d64028d5a2), 1 h 39 min (CERN's player)