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 2023: Our group leader Dimitris was recently invited to a conference held by the International Centre for Theoretical Sciences, where he gave a talk titled “Quantum supremacy with many-body systems: Merging thermalization with complexity theory”. Check out the recording here!
June 2023: The Quantum Technology Summit took place this month in Singapore as part of TechXLR8 Asia and Asia Tech x Singapore. This is Asia’s flagship tech event where technology intersects with society and the digital economy. Dimitris was invited as a leader in quantum tech to give a talk on “Quantum Computing Architecture: Next Steps for Enterprises”. Find out more here!
May 2023: Our group leader Dimitris, PhD student Chee, and collaborator Adrian Mak recently attended the QUANTUMatter 2023 conference in Madrid, Spain, giving talks on both quantum chemistry and quantum optimization. Check out the exciting program here.
April 2023: The first paper of our PhD student Harvey is out! We studied how topological data analysis can be used to characterize complex chaotic quantum dynamics! Well done Harvey and team!
March 2023: Supercomputing Asia, a massive gathering of HPC experts from all over the region is on! Our group leader has been giving two talks on qubit efficient quantum algorithms for chemistry and optimization and their applications to industrial use cases. Check out the exciting program here .
February 2023: Our paper on a sampling quantum advantage with analog quantum many-body systems is published in Quantum Science and Technology! A first effort in merging complexity theory and thermalization physics! In parallel, our review of applications of topological data analysis to physics and machine learning problems in physics is accepted by Adv. Phys. X!
Research Highlights
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 …
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 …
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 …
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 …
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 …
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 …