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.
December 2019: Some of our group’s PhD and Final Year Diploma Theses are now available online. You can find them here.
November 2019: It was great to help organize two quantum programming workshops, one on IMB’s QSKIT and one on Google’s CIRQ where Dimitris delivered the opening and closing talks.
October 2019: Our group leader Dimitris was recently interviewed for OpenGov Asia on quantum computing and on Singapore’s Daily Today Online and on CNN Business about the recent quantum supremacy result by Google.
September 2019: Ben Tan, a new PhD student and a Singaporean joins the group. Welcome Ben!
August 2019: Tiang Feng defended her thesis with flying colours! Well done! All the best to your new adventures in the industry world!
July 2019: Very happy to announce that our group leader was chosen as one of the three CQT PIs to be featured in NUSNews website on “Shaping the future of quantum technology”
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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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