Quantum Machine Learning
Summer School. 26-30 June
organized by Kyiv Academic Univerity and
Welcome to the area where quantum computing
and machine learning meet together!
Organizers and
participants
About QML summer school
Designed for someone who has knowledge in mathematical analysis, linear algebra, probability theory, and programming in Python. Our immersive summer school on quantum machine learning is accessible to every STEM student, , even if you are not familiar with some of the mentioned subjects you still can take a part of this school.
Organized jointly by Kyiv Academic University and Trinity College Dublin, this summer school brings together the expertise and resources of two leading institutions. Participants in this school will gain valuable insights and knowledge from professors, researchers, and industry experts which will allow them to enter this field.
Lecturers and Topics
Andrii Semenov Associate professor Kyiv Academic Unicversity
and
Olena Gomonay Senior Researcher at Johannes Gutenberg-Universität Mainz
26-27th June
Introduction to Quantum Computation.
This lectures will cover basics of quantum machanics and them basics of quantum computing that you will need trough the course
Vitalii Tymchyshyn, Senior Researcher Bogolyubov Institute for Theoretical Physics of the National Academy of Sciences of Ukraine
26-27th June
Introduction to Classical Machine Learning:
Topics: Linear regression, Classification problems, Training vs Test set,
Validation, Generative modeling (GAN, VAE). Intro to Neural Networks. Kernels
Marco Radaelli PhD researcher at Trinity College Dublin
28th June
Introduction to Quantum Algorithms.
these lectures will talk about Deutsch–Jozsa algorithm, QFT, Phase Estimation, HHL protocol. Intro to Qiskit for implementing quantum algorithms and more.
Danylo Yakymenko, Senior researcher Institute of Mathematics NAS of Ukraine
Alessandro Lunghi assistant professor at Trinity College Dublin
29th June
ML simulation of quantum properties of spin qubits such as magnetic molecules
28th June
Quantum error correction using stabilizer codes
Oleksandr Kyriienko, Senior lecturer from University of Exeter
29th June
Introduction to Quantum Machine Learning
30th June
Quantum Scientific machine learning
Weixi Zhang Scientist at National Physical Laboratory
Igor Sokolov Quantum Researcher at PASQAL
30th June
QML Workshop. Introduction to Quantum Neural Networks
29th June
Introduction to Variational quantum algorithms
30th June
Practical Applications of Quantum Machine Learning
Schedule.(UTC+1)
* Note that program hours are subject to minor adjustments. We aim to optimize the sessions for an enhanced learning experience. Updated schedules will be communicated to all participants via email to ensure everyone is well-informed.
Contact Us
Address
Akademika Vernads'koho Blvd, 36
Kyiv, 02000
Contact
Opening Hours
Mon - Fri
8:00 am – 8:00 pm