Quantum Machine Learning: Principles, Potential, and Practical Realization

Date and time: 11 December 2025, 14:00
Venue: NFTMC, D401

Speaker: Dr M. Marcozzi, researcher at the Faculty of Mathematics and Informatics, Vilnius University

The emerging field of Quantum Machine Learning (QML) lies at the intersection of quantum computing and advanced data analysis, offering the potential to fundamentally transform the way complex computational problems are addressed. During the presentation, attendees will be introduced to the core principles of quantum computing, including qubits and the structure of quantum circuits.

The talk will cover:

• how QML algorithms can accelerate problem-solving across various domains;

• key application areas such as quantum-enhanced optimization, regression, and classification;

• practical examples and real applications of QML methods, highlighting current hardware challenges as well as the future prospects of this rapidly developing field.

We invite you to participate!