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.

January 2023:  Our new work on quantum computing for chemistry is out! We propose an efficient quantum circuit for second quantized fermionic ansatz state preparation for quantum chemistry and material applications. Our results are particularly timely given the recent consensus that more breakthroughs are required to resolve the quantum state preparation bottleneck that prohibits a quantum advantage for large scale quantum chemistry problem.
December 2022:  Harvey’s first preprint is out! Topological data analysis is a powerful framework for extracting useful topological information from complex datasets. Using concepts from persistent homology we show how unravelling aspects quantum chaos is possible. We apply our findings to specific examples of open quantum systems implementable in NISQ devices.
November 2022:  Our recently arrived PhD students, Harvey and Arthur have passed their QE2s! Congratulations guys!
October 2022:  Our joint work with the leading group of Prof. JW Pan in China on quantum supremacy in many-body systems is out in the arXiv! Our theory prediction from last year that driven many-body systems can be shown to be hard to sample from, has been verified in a beautiful experiment with cold atoms in lattices!
July 2022:  Congrats to Chee for putting his first paper on arXiv! We have shown how to go beyond Hartree Fock approximation in calculating molecular energies using NISQ quantum computers using only linear depth quantum circuits.
June 2022:  Our collaboration with Alex Ling’s group here at CQT on implementing topological models in waveguide arrays is out on the arXiv!
1 2 3 9

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 …
Read More

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 …
Read More

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 …
Read More

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 …
Read More

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 …
Read More

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 …
Read More
Loading...