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.
Feb 2018: Marc joins our group as a Postdoc. Welcome!
Feb 2018: Dimitris and Jirawat attended the conference Quantum Simulation & Computation in Bilbao, Spain where Dimitris gave a talk on our recent joint work with Google.
Jan 2018: Our group members Tian Feng and Jirawat joined the 2nd workshop on quantum technologies in Chiang Mai, Thailand!
Dec 2017: Our work with Google got highlighted in Straits Times! Dimitris is also interviewed by Crete TV and SKY TV Greece (in Greek).
Dec 2017: Our paper with experimentalists from Google “Spectroscopic signatures of localization with interacting photons in superconducting qubits” has been published in
Science
Nov 2017: Victor moved to NTT Japan. It was good to have you with us. Good luck!
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 …
