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.
May 2022: Our introductory review on applications of topological data analysis to physics and machine learning problems in physics including the detection of phase transition.
Apr 2022: Congratulations to our first years PhDs Harvey and Arthur for passing their first comprehensive qualifying exams!
Jan 2022: Arthur Strauss, from EPFL is joining us this month as a PhD student! Welcome Arthur!
Aug 2021: Chee passed his qualifying exam! Congrats! We also have a new PhD student, Harvey from Imperial College London joining us this month! Welcome Harvey!
July 2021: Beng Yee, passed his qualifying exam and also put his first paper on the arXiv on quantum machine learning with linear photonics! Another paper on persistent homology is also up on arXiv!
June 2021: Dimitris was invited to speak on the VI ICQT 2021 held virtually in Russia along many of the world leaders in the field. He also talked at the European Dialogue on Internet Governance (EuroDig).
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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