Welcome to our group website
We are working in quantum technologies with a focus in implementations of quantum computation and quantum simulation with quantum optical systems. Our research could be applied towards developing exotic high-performance quantum processors and simulators, and also for fundamental science in the area of strongly correlated quantum systems. read more.
Jan 2022: Arthur Strauss, from EPFL is joining us this month as a PhD student! Welcome Arthur!
Aug 2021: Chee passed his qualifying exam! Congrats! We also have a new PhD student, Harvey from Imperial College London joining us this month! Welcome Harvey!
July 2021: Beng Yee, passed his qualifying exam and also put his first paper on the arXiv on quantum machine learning with linear photonics! Another paper on persistent homology is also up on arXiv!
June 2021: Dimitris was invited to speak on the VI ICQT 2021 held virtually in Russia along many of the world leaders in the field. He also talked at the European Dialogue on Internet Governance (EuroDig).
May 2021: Two of our pre-print works are published !
(1) First one on probing quantum phases of matter with quantum supremacy signatures is published in Physical Review B . (2) Second work on qubit-efficient encoding schemes for binary optimisation problems is published in Quantum.
April 2021: Dimitris was invited to speak at TUC the World Quantum Day. The World Quantum Day is an initiative from quantum scientists from 65+ countries, Dimitris representing Greece, and was launched on 14 April 2021. The video of his talk with title “Από την Κβαντική Φυσική στους Κβαντικούς Υπολογιστές” in Greek is available online.
Research Highlights
July 2022: Computing Electronic Correlation Energies using Linear Depth Quantum Circuits
Computing Electronic Correlation Energies using Linear Depth Quantum Circuits Chong Hian Chee, Adrian M. Mak, Daniel Leykam, Dimitris G. Angelakis …
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June 2022: Topological data analysis and machine learning
Topological data analysis and machine learning Daniel Leykam, Dimitris G. Angelakis arXiv:2206.15075 Topological data analysis refers to approaches for systematically …
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July 2021: Fock State-enhanced Expressivity of Quantum Machine Learning Models
Fock State-enhanced Expressivity of Quantum Machine Learning Models Beng Yee Gan, Daniel Leykam, Dimitris G. Angelakis EPJ Quantum Technology 9 …
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Jan 2021: Photonic band structure design using persistent homology
Photonic band structure design using persistent homology D. Leykam, D. G. Angelakis APL Photonics 6, 030802 (2021) The machine learning …
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December 2020: Quantum supremacy and quantum phase transitions
Quantum supremacy and quantum phase transitions S. Thanasilp, J. Tangpanitanon, M. A. Lemonde, N. Dangniam, D. G. Angelakis Phys. Rev …
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July 2020: Qubit efficient algorithms for binary optimization problems
Qubit efficient algorithms for binary optimization problems B. Tan, M. A. Lemonde, S. Thanasilp, J. Tangpanitanon, D. G. Angelakis Quantum …
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