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.
June 2018: Our papers “Discrete time crystal in globally driven interacting quantum systems without disorder” [PDF] and “Strongly correlated photon transport in nonlinear photonic lattice with disorder: Probing signatures of the localization transition” [PDF] are out in aXiv! .
May 2018: Our paper “Hidden Order in Quantum Many-body Dynamics of Driven-Dissipative Nonlinear Photonic Lattices” is out on arXiv .
March 2018: Dimitris receives the Google Quantum Innovation Award 2018! “Dimitris: I would like to thank the whole team and my student Jirawat especially for all their work in this, as well as Pedram Roushan from Google for the exciting collaboration!”
Feb 2018: Dimitris is interviewed by South China Morning Post
Feb 2018: Marc joins our group as a Postdoc. Welcome!
Feb 2018: Dimitris and Jirawat attended the conference Quantum Simulation & Computation in Bilbao, Spain where Dimitris gave a talk on our recent joint work with Google.
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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