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: 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!
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!
Research Highlights
December 2020: 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 arxiv.org/2012.06459 Demonstrating …
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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 arxiv.org/2007.01774 …
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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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July 2019: Quantum state transfer via acoustic edge states in a 2D optomechanical array
Marc-Antoine Lemonde, Vittorio Peano, Peter Rabl, Dimitris G. Angelakis New J. Phys. 21 (11), 113030 (2020) [PDF] We propose a novel …
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