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 2021: Beng Yee, passed his qualifying exam and also put his first paper on the arXiv on quantum machine learning with linear photonics! Another paper on persistent homology is also up on arXiv!
June 2021: Dimitris was invited to speak on the VI ICQT 2021 held virtually in Russia along many of the world leaders in the field. He also talked at the European Dialogue on Internet Governance (EuroDig).
May 2021: Two of our pre-print works are published !
(1) First one on probing quantum phases of matter with quantum supremacy signatures is published in Physical Review B . (2) Second work on qubit-efficient encoding schemes for binary optimisation problems is published in Quantum.
April 2021: Dimitris was invited to speak at TUC the World Quantum Day. The World Quantum Day is an initiative from quantum scientists from 65+ countries, Dimitris representing Greece, and was launched on 14 April 2021. The video of his talk with title “Από την Κβαντική Φυσική στους Κβαντικούς Υπολογιστές” in Greek is available online.
March 2021: Our new work with Daniel, who joined our group recently, is published at Applied Physics Letters! We merge machine learning with topology and quantum physics for applications at material design. We use a technique known as ‘persistent homology’ to show that it can calculate how nano-structured materials will transmit light. That could make it easier to design man-made photonic crystals, fabricated for example with layers of materials, etched patterns or embedded structures, for specific applications. Check out CQT’s highlight here
December 2020: We have been busy this month. Three of our works are out, two preprints and one publication !
(1) New work out on machine learning with topology (persistent homology) for probing exotic topological bands in condensed matter physics. (2) Our preprint on one on analog quantum machine learning with near term quantum processors is published in Physical Review Research. (3) Our new work on quantum supremacy and quantum phase transition is out as preprint! We propose how our quantum supremacy proposal with driven analog many-body systems can also be used for probing phases of matter.
Research Highlights

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 …

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 …