ENGAGE

Enabling the Next-Generation of Computational Physicists and Engineers

Grant period2022-01-01 - 2026-12-31
Funding bodyEuropean Union
Call numberH2020-MSCA-COFUND-2020
Grant number101034267
IdentifierG:(EU-Grant)101034267

Note: The program “Enabling the next generation of computational physicists and engineers” (ENGAGE) will train 20 Early Stage Researchers (ESRs) to use advanced computer technologies and methodologies for scientific discovery and innovation. The Cyprus Institute is the beneficiary of ENGAGE, having established an interdisciplinary PhD program in Computational Sciences. ENGAGE pools together leading experts from major research centers and from some of Europe's best Universities to train the ESRs in high performance computing (HPC), data science approaches such as machine and deep learning (ML), and quantum computing (QC) and to apply them for solving problems from physics and engineering. The ESRs will learn to use mathematical modeling, to design scalable algorithms, to understand computer architectures and the principles of QC, and to use neural and tensor networks to analyze and extract information from large complex data sets obtained in high energy experiments and from synchrotron light facilities. They will experience different research environments via secondments to universities and to experimental and computational facilities as well as to industry. They will be trained to present their results and hold scientific discussions with researchers from different thematic domains, all of whom share common cross-disciplinary competencies in the pursuit of complex problems, which aim to advance our understanding of nature and to lead to innovative applications. The interdisciplinary program ENGAGE combines the expertise of researchers from institutions across Europe, from Cyprus, Greece and Italy to Germany and France as well as from SESAME, the Middle East's only major experimental synchrotron light facility. ENGAGE responds to the rapid developments in HPC, ML, and the emerging field of QC that have the power to transform the way research is carried out across disciplines. These developments require researchers with well-rounded training, that ENGAGE aspires to deliver.
   

Recent Publications

All known publications ...
Download: BibTeX | EndNote XML,  Text | RIS | 

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Contribution to a conference proceedings/Journal Article  ;  ;  ;  ;  ;
Mass conditioned and constrained normalising flows for jet generation
21th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, ACAT 2022, BariBari, Italy, 24 Oct 2022 - 28 Oct 20222022-10-242022-10-28 Journal of physics / Conference Series 3206(1), 012068 () [10.1088/1742-6596/3206/1/012068]  GO OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint  ;  ;  ;  ;
Classical Pre-Training of Large Shallow Parametrized Quantum Circuits through Pauli Propagation and deployment on Quantum Hardware
() [10.3204/PUBDB-2026-03200]  GO OpenAccess  Download fulltext Files  Download fulltextFulltext Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint  ;  ;  ;  ;  ;  ;  ;
Hamiltonian lattice formulation of compact Maxwell-Chern-Simons theory
()  GO arXiv  Download fulltext Files  Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint  ;  ;  ;  ;  ;
Interferometric Quantum Polynomial Chaos Expansion as a Generative Model for Calorimeter Shower Simulation
() [10.3204/PUBDB-2026-01456]  GO OpenAccess  Download fulltext Files  Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint  ;  ;  ;  ;
Quantum Feature Amplification Network (QFAN) as An Autoregressive Quantum Generative Model
() [10.3204/PUBDB-2026-01455]  GO OpenAccess  Download fulltext Files  Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint  ;  ;  ;  ;
Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits
() [10.3204/PUBDB-2025-05683]  GO OpenAccess  Download fulltext Files  Download fulltextFulltext Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article  ;  ;  ;  ;  ;  ;  ;
Hamiltonian Lattice Formulation of Compact Maxwell-Chern-Simons Theory
Physical review / D 114(3), 034511 () [10.1103/rrzw-s456]  GO OpenAccess  Download fulltext Files  Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint  ;  ;  ;  ;  ;
Preparation of initial states with open and periodic boundary conditions on quantum devices using matrix product states
() [10.3204/PUBDB-2025-04269]  GO OpenAccess  Download fulltext Files  Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Dissertation / PhD Thesis  ;  ;  ;
Tensor network and quantum simulations of 1+1-dimensional quantum electrodynamics
118 pp. () [10.18452/34744] = Dissertation, Humboldt University, 2025  GO OpenAccess  Download fulltext Files  Download fulltextFulltext by OpenAccess repository BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article  ;  ;  ;  ;
Meson thermalization with a hot medium in the open Schwinger model
Journal of high energy physics 2025(4), 029 () [10.1007/JHEP04(2025)195]  GO OpenAccess  Download fulltext Files  Download fulltextFulltext Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

All known publications ...
Download: BibTeX | EndNote XML,  Text | RIS | 


 Record created 2023-02-08, last modified 2023-02-10



Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)