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 2020: New work on qubit efficient algorithms for solving binary optimization problems is out as preprint! We propose and analyze a set of variational quantum algorithms for solving quadratic unconstrained binary optimization problems where a problem consisting of n classical variables can be implemented on O(log(n))number of qubits.
May 2020: Our new work on analog quantum processors for machine learning is out as a preprint! We discuss how the interplay between external driving and disorder in quantum many-body systems can dictate their trainability and expressibility and apply it to solve a generative modelling problem.
March 2020: Our work on “Quantum supremacy in driven quantum many-body systems” using complexity theory arguments is out as a preprint! We hope it will open the path for a large number of existing analog quantum simulators to showcase quantum supremacy and motivate further works in the field!
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.
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, …
