Detecting Graph Characteristics Using Quantum Programming
Khrystyna Gnatenko Professor of Theoretical Physics
Expert lecture
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About Khrystyna Gnatenko
Khrystyna Gnatenko is a distinguished theoretical physicist with expertise in quantum information, quantum computing, and the fundamental problems of quantum mechanics. She earned her PhD in 2016 and her DSc in 2020 from Ivan Franko National University of Lviv.
Currently, she serves as a Professor at the Professor Ivan Vakarchuk Department of Theoretical Physics at Ivan Franko National University of Lviv. Khrystyna is also a Quantum Computing Research Advisor and Senior Researcher at SoftServe Inc.
Her accolades include the 2024 “Talents for Ukraine” grant, the 2023 Ukrainian L'ORÉAL–UNESCO Award “For Women in Science,” and multiple other recognitions.
Khrystyna actively contributes to advancing science as the Chair of the Expert Council for Physics, Nuclear Physics, and Astronomy at Ukraine's Ministry of Education and Science and as the Scientific Editor of the Ukrainian Journal of Physics.
Organisation
Ivan Franko National University of Lviv is a classical higher educational establishment with powerful scientific schools, old traditions and modern innovation approaches. Its principal aim is to provide high educational and scientific standards, cultural, social needs of a person, the society and state in the process of training highly qualified specialists. The University activity is formed on the grounds of preserving Ukrainian culture and traditions, developing national consciousness and identity.
Frequently Asked Questions
- Who is Khrystyna Gnatenko?
- Khrystyna Gnatenko is a distinguished theoretical physicist with expertise in quantum information, quantum computing, and the fundamental problems of quantum mechanics. She earned her PhD in 2016 and her DSc in 2020 from Ivan Franko National University of Lviv.Currently, she serves as a Professor.
- What is the lecture "Detecting Graph Characteristics Using Quantum Programming"?
- This presentation by Khrystyna Gnatenko at the Quantum Security Defence World Symposium covers key concepts, challenges, and developments in quantum computing, quantum machine learning.
- What is quantum computing?
- Quantum computing uses superposition and entanglement to perform certain computations substantially faster than classical computers. Key applications include optimisation, simulation, and cryptanalysis.
- What is quantum machine learning?
- Quantum machine learning explores how quantum computing can accelerate machine learning algorithms. Most practical applications remain in the near-term hybrid quantum-classical category.
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