Basics of Quantum Machine Learning

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F25%3A10260385" target="_blank" >RIV/61989100:27740/25:10260385 - isvavai.cz</a>

Result on the web

<a href="https://events.it4i.cz/event/354/" target="_blank" >https://events.it4i.cz/event/354/</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Basics of Quantum Machine Learning

Original language description

This training course on the basics of Quantum Machine Learning (QML) explored the intersection of quantum computing and machine learning. It highlighted the advantages and potential applications of combining these two cutting-edge fields. The course built on foundational concepts of quantum computing and variational quantum algorithms, followed by an explanation of parameterised quantum circuits and their use in quantum classification and regression. It also examined quantum kernels in the support vector machine method and concluded with an introduction to quantum unsupervised machine learning. Each section included practical hands-on exercises to reinforce the discussed methods.

Czech name

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Czech description

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Type

O - Miscellaneous

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

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Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů