Artificial Intelligence
Data Science
Algorithms
archimedes-Artificial Intelligence, Data Science, Algorithms-greece
greece
Algorithms
Data Science
Artificial Intelligence
Archimedes Talks - ''Open problems and questions for near-term quantum algorithms’’ by George Korpas
Dates
2024-04-18 13:00 - 14:00
Venue
Artemidos 1 - Amphitheater
Following our Archimedes Talks series, we would like to invite you to George’s Korpas talk on “Open problems and questions for near-term quantum algorithms”, which will be held in Archimedes Unit Amphitheater on the 18th of April at 13:00.
At the end of this message a teams link is provided.
Title: Open problems and questions for near-term quantum algorithms
Abstract: After a brief introduction quantum computing and near-term quantum algorithms we aim to expose the audience with a variety of open problems which we would like to partially address during our research efforts within the Archimedes initiative. Given that these so-called variational quantum algorithms are not only popular among the academic community but also have sparked an industry of quantum startups, we aim to expose and discuss certain complexity theoretic, geometric and implementation issues and questions related to them with the purpose to attract the interest of the audience as well as the relevant experienced researchers who might have interest in tackling some of those problems with us.
Short Bio
George Korpas is a Senior Research Scientist at HSBC Labs and Research Fellow at the Optimization Group of the Department of Computer Science at the at the Czech Technical University in Prague mainly working in the interplay between quantum computation, optimization and artificial intelligence. He holds a PhD in Mathematics from Trinity College Dublin where he worked on topological quantum field theories, modular forms and topological invariants of 4-manifolds. Afterwards, he had short posts at the Champalimaud Foundation in Lisbon, the National University of Singapore and at the Czech Technical University in Prague. His research interests include quantum computation including quantum algorithms and quantum machine learning, mathematical optimization and semi-definite programming, as well as mathematical aspects of machine learning and deep learning.
Affiliation:
1. HSBC Lab, Quantum Technologies Group, HSBC, London, UK
2. Dept. Of Comp. Science, Czech. Tech. Univ. of Prague, CZ
3. Archimedes Research Unit, Athena RC, Athens, Greece.
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Vision
To position Greece as a leading player in AI and Data Science
Mission
To build an AI Excellence Hub in Greece where the international research community can connect, groundbreaking ideas can thrive, and the next generation of scientists emerges, shaping a brighter future for Greece and the world
Welcome to ARCHIMEDES, a vibrant research hub connecting the global AI and Data Science research community fostering groundbreaking research in Greece and beyond. Its dedicated core team, comprising lead researchers, affiliated researchers, Post-Docs, PhDs and interns, is committed to advancing basic and applied research in Artificial Intelligence and its supporting disciplines, including Algorithms, Statistics, Learning Theory, and Game Theory organized around 8 core research areas. By collaborating with Greek and Foreign Universities and Research Institutes, ARCHIMEDES disseminates its research findings fostering knowledge exchange and providing enriching opportunities for students. Leveraging AI to address real-world challenges, ARCHIMEDES promotes innovation within the Greek ecosystem and extends its societal impact. Established in January 2022, as a research unit of the Athena Research Center with support from the Committee Greece 2021, ARCHIMEDES is funded for its first four years by the EU Recovery and Resilience Facility (RRF).
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6 Accepted Papers at ICLR 2026
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The Archimedes research unit of the Athena Research Center in Greece has six papers accepted at this year's International Conference on Learning Representations (ICLR) gathering, including one oral presentation. The acceptance rate for posters was about 25,8% and about 1,1% for oral presentations. Please bear in mind that ICLR, along with NeurIPS and ICML, is considered one of the three top-tier artificial intelligence and machine learning conferences in the world.
The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.
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