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.

July 2019: Very happy to announce that our group leader was chosen as one of the three CQT PIs to be featured in NUSNews website on “Shaping the future of quantum technology” .
July 2019: Our lecture notes for the course given at the “E. Fermi” International School of Physics on Nanoscale Quantum Optics, Lake Como, July 2018 and our paper “Quantum state transfer via acoustic edge states in a 2D optomechanical array” are out on arXiv.
June 2019: Our work on quantum supremacy with analog quantum processors for material science and machine learning is out on arXiv.
May 2019: Our review on Nanoscale Quantum Optics is out on arXiv !
April 2019: Our work on looking for exotic hidden order in driven-dissipative photonic lattices is out in Phys. Rev. A!

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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