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.
July 2018: Dimitris was invited to give a lecture on quantum simulation with light at Villa Monastero Fermi School on NanoScale Quantum Optics.
June 2018: Our papers “Discrete time crystal in globally driven interacting quantum systems without disorder” [PDF] and “Strongly correlated photon transport in nonlinear photonic lattice with disorder: Probing signatures of the localization transition” [PDF] are out in aXiv! .
May 2018: Our paper “Hidden Order in Quantum Many-body Dynamics of Driven-Dissipative Nonlinear Photonic Lattices” is out on arXiv .
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!
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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