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.
March 2018: Dimitris receives the Google Quantum Innovation Award 2018! “Dimitris: I would like to thank the whole team and my student Jirawat especially for all their work in this, as well as Pedram Roushan from Google for the exciting collaboration!”
Feb 2018: Dimitris is interviewed by South China Morning Post
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).
Research Highlights
Jan 2023: Shallow quantum circuits for efficient preparation of Slater determinants and correlated states on a quantum computer
Shallow quantum circuits for efficient preparation of Slater determinants and correlated states on a quantum computer Chong Hian Chee, Daniel …
Read More
Read More
October 2022: Efficiently Extracting Multi-Point Correlations of a Floquet Thermalized System
Efficiently Extracting Multi-Point Correlations of a Floquet Thermalized System Yong-Guang Zheng, Wei-Yong Zhang, Ying-Chao Shen, An Luo, Ying Liu, Ming-Gen …
Read More
Read More
July 2022: Computing Electronic Correlation Energies using Linear Depth Quantum Circuits
Computing Electronic Correlation Energies using Linear Depth Quantum Circuits Chong Hian Chee, Adrian M. Mak, Daniel Leykam, Dimitris G. Angelakis …
Read More
Read More
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 …
Read More
Read More
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 …
Read More
Read More
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 …
Read More
Read More
