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
June 2023: Qubit efficient quantum algorithms for the vehicle routing problem on quantum computers of the NISQ era
Qubit efficient quantum algorithms for the vehicle routing problem on quantum computers of the NISQ era Ioannis D. Leonidas, Alexander …
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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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