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 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!
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.
Research Highlights
December 2024: Efficient Estimation and Sequential Optimization of Cost Functions in Variational Quantum Algorithms
Efficient Estimation and Sequential Optimization of Cost Functions in Variational Quantum Algorithms Muhammad Umer, Eleftherios Mastorakis, Dimitris G. Angelakis arXiv:2412.20972 …
February 2024: Unsupervised learning of quantum many-body scars using intrinsic dimension
Unsupervised learning of quantum many-body scars using intrinsic dimension Harvey Cao, Dimitris G. Angelakis, Daniel Leykam Harvey Cao et al …
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 …
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 …
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 …
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, …
