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 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!
March 2019: 3 papers published this month in detecting topological order in quantum many-body systems [PDF], to realizing time crystals without disorder [PDF] , to many-body localization in open photonic systems [PDF]
Feb 2019: Jirawat successfully defended his thesis in a panel of local and international examiners! Well done Jirawat! Supanut passed his QE1 too! Congrats to both!
Jan 2019: Visit of Thai Princess and her senior scientific advisor to CQT and our group. Excited to have the chance to meet her in person and discuss the potential of quantum technologies with them!
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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