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 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” .
July 2019: Our lecture notes for the course given at the “E. Fermi” International School of Physics on Nanoscale Quantum Optics, Lake Como, July 2018 and our paper “Quantum state transfer via acoustic edge states in a 2D optomechanical array” are out on arXiv.
June 2019: Our work on quantum supremacy with analog quantum processors for material science and machine learning is out on arXiv.
May 2019: Our review on Nanoscale Quantum Optics is out on arXiv !
April 2019: Our work on looking for exotic hidden order in driven-dissipative photonic lattices is out in Phys. Rev. A!
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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, Panagiotis Kl Barkoutsos, …
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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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