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: 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!
Nov 2017: Our paper “Realizing topological relativistic dynamics with slow light polaritons at room temperature” is in out in arXiv,
see here .
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 …
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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 …
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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 …
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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 …
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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 …
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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 …
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