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.
June 2023: Our group leader Dimitris was recently invited to a conference held by the International Centre for Theoretical Sciences, where he gave a talk titled “Quantum supremacy with many-body systems: Merging thermalization with complexity theory”. Check out the recording here!
June 2023: The Quantum Technology Summit took place this month in Singapore as part of TechXLR8 Asia and Asia Tech x Singapore. This is Asia’s flagship tech event where technology intersects with society and the digital economy. Dimitris was invited as a leader in quantum tech to give a talk on “Quantum Computing Architecture: Next Steps for Enterprises”. Find out more here!
May 2023: Our group leader Dimitris, PhD student Chee, and collaborator Adrian Mak recently attended the QUANTUMatter 2023 conference in Madrid, Spain, giving talks on both quantum chemistry and quantum optimization. Check out the exciting program here.
April 2023: The first paper of our PhD student Harvey is out! We studied how topological data analysis can be used to characterize complex chaotic quantum dynamics! Well done Harvey and team!
March 2023: Supercomputing Asia, a massive gathering of HPC experts from all over the region is on! Our group leader has been giving two talks on qubit efficient quantum algorithms for chemistry and optimization and their applications to industrial use cases. Check out the exciting program here .
February 2023: Our paper on a sampling quantum advantage with analog quantum many-body systems is published in Quantum Science and Technology! A first effort in merging complexity theory and thermalization physics! In parallel, our review of applications of topological data analysis to physics and machine learning problems in physics is accepted by Adv. Phys. X!
Research Highlights
Porno dla dzieci: Niebezpieczeństwa i problemy związane z rozpowszechnianiem w polskim Internecie
Porno dla dzieci: Niebezpieczeństwa i problemy związane z rozpowszechnianiem w polskim Internecie Wstęp Dzieciece porno to jedno z najpoważniejszych zagrożeń …
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, …
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 …