archimedes-Artificial Intelligence, Data Science, Algorithms-greece

 
Artificial Intelligence
 
Data Science
 
Algorithms

Quantum Computing with Silicon Spin Qubits - Elena Blokhina (University College Dublin)

Archimedes_Talk
Dates
2025-07-11 13:00 - 14:00
Venue
Archimedes Amphitheatre (1 Artemidos Street, 15125, Marousi, Archimedes, Athena Research Center, Greece)

Title: Quantum Computing with Silicon Spin Qubits

Speaker: Prof. Elena Blokhina (University College Dublin, Ireland)

Abstract: The talk will explore technologies for silicon spin qubits and their potential for quantum computing, highlighting the underlying materials and the techniques used to achieve precise control of spin states, enabling high-fidelity quantum gate operations. It will start with an overview of silicon-based platforms, discussing how material properties and fabrication approaches impact qubit performance. Methods for implementing spin control with magnetic and electric field manipulation to induce interaction and entanglement will be introduced. Strategies for scaling up to larger systems with high connectivity for future applications will also be outlined, including AI for quantum calibration. The second part of the talk will focus on examples of qubit devices, presenting our recent results. The operation of quantum gates will be explained, demonstrating quantum circuits and quantum ML methods that have been implemented on this platform. Finally, prospects and next steps toward building higher-temperature and scalable silicon spin qubit architectures will be discussed.

Short Biography: Elena Blokhina received the Habilitation à Diriger des Recherches (HDR, equivalent to DSc) in electronic engineering from UPMC Sorbonne Universités, the PhD in physical and mathematical sciences, and the MSc with highest honours in physics from Saratov State University. She has been with University College Dublin, Ireland and Equal1 Laboratories Ireland (Chief Scientific Officer). She is a member of the Steering Committee of the UCD Centre for Quantum Engineering, Science, and Technology (CQuEST) and a member of the National Advisory Forum for Quantum Technologies in Ireland. Prof Blokhina is the past Chair of the IEEE Technical Committee on Nonlinear Circuits and Systems and currently serves as Vice-Chair of the Quantum Information Systems and Applications Committee of the IEEE Microwave Theory and Technology Society. She was elected to the Board of Governors of the IEEE Circuits and Systems Society for the terms 2013–2015 and 2016–2018. She served as Associate Editor for IEEE Transactions on Circuits and Systems I (2016–2017), IEEE Access (2017), and other journals, and as Deputy Editor-in-Chief of IEEE TCAS-I (2018–2021). Her research interests include microelectronic systems, semiconductor devices, quantum computing, quantum dots, and semiconductor qubits.

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Vision

To position Greece as a leading player in AI and Data Science

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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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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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