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.

We are hiring!

News

July 2025: Check out our latest work now on the arXiv by group members Eleftherios, Muhammad, and collaborators (arXiv link will be available from 29/7/25). This paper presents a resource-efficient, low-depth Hadamard test circuit and tailored variational ansatz for NISQ devices, significantly reducing gate counts. The approach accurately simulates nonlinear Burgers’ dynamics and remains resilient to hardware noise, showing strong agreement with classical benchmarks. Please reach out if you have any questions or are interested to find out more!

May 2025: Our work by Muhammad and collaborators on a qubit- and shot-efficient method for optimizing cost functions in variational quantum algorithms has recently been published. This innovative study introduces the Sequential Grid-Based Explicit Optimization (SGEO) protocol, redefining optimization in variational quantum algorithms. By expressing parameterized quantum circuits as weighted sums of unitary operators, SGEO enables efficient computation of cost functions and their derivatives, enhancing both speed and accuracy. Read the full paper here!
March 2025: Our team recently presented at APS March Meeting 2025, with an invited talk on utility-scale quantum optimization and posters on quantum CFD and drone path planning – special thanks to Gordon Ma and Muhammad Umer for representing our work, and to all collaborators including SGX, ExxonMobil, and Thales!
Jan 2025: Our recently published work by Muhammad and collaborators investigates a recently proposed variational quantum algorithm’s ability to find ground states of the nonlinear Schrödinger equation using real superconducting quantum hardware. Despite noise affecting energy evaluations, the algorithm reliably converges for small instances, offering practical insights for solving nonlinear problems with quantum devices. Great work team!
December 2024: We recently submitted a paper onto arXiv introducing a qubit- and shot-efficient method for optimizing cost functions in variational quantum algorithms. Applied to quantum fluid dynamics and ground-state estimation, the approach shows faster and more accurate convergence – congrats to Muhammad Umer and collaborators!
October 2024: Many congratulations to PhD student Chee Chong Hian for successfully defending his thesis on “Resource-Efficient Quantum Algorithms for Quantum Chemistry”! Best of luck for all your future endeavours! You can read more about Chee’s work here.
1 2 3 … 12

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 …
Read More

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 …
Read More

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 …
Read More

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, Panagiotis Kl Barkoutsos, …
Read More