Annotation
This event introduces core concepts of photonic quantum computing, including Gaussian states, phase space methods, and their connections to graph theory through Gaussian Boson Sampling. Topics range from Fock space and photonic gates to the role of the hafnian in dense subgraph problems. The lectures will be complemented by a hands-on session.
Benefits for the attendees, what will they learn
The attendees will learn the basics of photonic quantum computing, Gaussian states, Gaussian Boson Sampling, and the graph theoretical applications of this.
Level
intermediate
Language
English
Prerequisites
Quantum mechanics
Technical requirements
Piquasso (https://piquasso.readthedocs.io/) will be used during the course, and the participants are required to install a recent version of Python 3 on their machine.
Tutors
Zoltán Kolarovszki is a researcher at the HUN-REN Wigner Research Centre for Physics and the Department of Programming Languages and Compilers at Eötvös Loránd University. His work focuses on classical simulation techniques in photonic quantum computing, and is one of the lead developers of the Piquasso simulation platform, while actively contributing to the field of photonic quantum computing.
Zoltán Zimborás is a Professor of Quantum Algorithms at the University of Helsinki. He received his Ph.D. from Eötvös University in Budapest and subsequently held postdoctoral research positions at UPV/EHU in Bilbao, University College London, and Freie Universität Berlin. He later returned to Hungary, where he founded and led the Quantum Computing and Information Group at the Wigner Research Centre for Physics, a role he held until 2024. His research focuses both on the theoretical foundations of quantum computing and the practical realisation of quantum algorithms on real quantum hardware. He is a PI in several large European quantum computing projects, such as OpenSuperQPlus and SPINUS. In addition to his academic work, he serves on several editorial boards and is a Board Member of QWorld and the Quantum Circuit Repository (QCR), two non-profit organisations dedicated to advancing open-source quantum programming tools across all levels of expertise.
Acknowledgements
This project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101101903. The JU receives support from the Digital Europe Programme and Germany, Bulgaria, Austria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Greece, Hungary, Ireland, Italy, Lithuania, Latvia, Poland, Portugal, Romania, Slovenia, Spain, Sweden, France, Netherlands, Belgium, Luxembourg, Slovakia, Norway, Türkiye, Republic of North Macedonia, Iceland, Montenegro, Serbia. This project has received funding from the Ministry of Education, Youth and Sports of the Czech Republic.
This course was supported by the Ministry of Education, Youth and Sports of the Czech Republic through the e-INFRA CZ (ID:90254).
Supported by the Ministry of Culture and Innovation and the National Research, Development and Innovation Office through the Quantum Information National Laboratory of Hungary (Grant No. 2022-2.1.1-NL-2022-00004), the UNKP-22-5 New National Excellence Program (Grants No. FK134437 and FK135220), and the TKP2021 Thematic Excellence Programme (Grant No. TKP2021-NVA-04).
All presentations and educational materials of this course are provided under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license.
