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.

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.
March 2021: Our new work with Daniel, who joined our group recently, is published at Applied Physics Letters! We merge machine learning with topology and quantum physics for applications at material design. We use a technique known as ‘persistent homology’ to show that it can calculate how nano-structured materials will transmit light. That could make it easier to design man-made photonic crystals, fabricated for example with layers of materials, etched patterns or embedded structures, for specific applications. Check out CQT’s highlight here
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Research Highlights

July 2021: Fock State-enhanced Expressivity of Quantum Machine Learning Models

Fock State-enhanced Expressivity of Quantum Machine Learning Models B. Y. Gan, D. Leykam, D. G. Angelakis arXiv:2107.05224 The data-embedding process …
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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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May 2020: Expressibility and trainability of parameterized analog quantum systems for machine learning applications

Expressibility and trainability of parameterized analog quantum systems for machine learning applications J. Tangpanitanon, S. Thanasilp, M. A. Lemonde, N …
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March 2020: Quantum supremacy in driven quantum many-body systems

Quantum supremacy in driven quantum many-body systems J. Tangpanitanon, S. Thanasilp, M. A. Lemonde, N. Dangniam, D. G. Angelakis arxiv.org/2002.11946  …
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