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.
Jan 2024: Another new work was recently put out onto the arXiv by our PhD student Harvey, who shows how dimensionality reduction techniques from machine learning can be used to distinguish between thermal and non-thermal phases in quantum many-body scar systems!
July 2023: A new work from our research assistant Elias building up on our qubit compression algorithms for solving QUBO problems and applications in finance. We solve the transaction settlement problem and boost the performance by almost two orders of magnitude compared to the state of the art!
July 2023: Another paper was recently put up onto arXiv by PhD student Benjamin and others in the group. We show how the localization landscape can form the basis for hardware-efficient quantum algorithms for solving binary optimization problems, which is competitive with standard QAOA circuits of similar depth!
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.
Research Highlights
June 2022: Topological data analysis and machine learning
Topological data analysis and machine learning Daniel Leykam, Dimitris G. Angelakis arXiv:2206.15075 Topological data analysis refers to approaches for systematically …
July 2021: Fock State-enhanced Expressivity of Quantum Machine Learning Models
Fock State-enhanced Expressivity of Quantum Machine Learning Models Beng Yee Gan, Daniel Leykam, Dimitris G. Angelakis EPJ Quantum Technology 9 …
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 …











