
Megjegyzés: Financial support was received from the following grants: Project no. 2019-1.3.1-KK-2019-00004 has been implemented with the support provided from the National Research, Development and Innovation Fund of Hungary, financed under the 2019-1.3.1-KK funding scheme. The project supported by the Doctoral Excellence Fellowship Programme (DCEP) is funded by the National Research Development and Innovation Fund of the Ministry of Culture and Innovation and the Budapest University of Technology and Economics, under a grant agreement with the National Research, Development and Innovation Office. This research was partially funded by the 2024-2.1.1-EKÖP-2024-00003 University Research Scholarship Programme under project number EKÖP-24-3-BME-159 with the support provided by the Ministry of Culture and Innovation of Hungary from the NRDI Fund.
Megjegyzés: Funding Agency and Grant Number: Doctoral Excellence Fellowship Programme (DCEP) - National Research Development and Innovation Fund of the Ministry of Culture and Innovation; Budapest University of Technology and Economics; National Research, Development and Innovation Office; [GINOP-2.1.2-8-1-4-16-2018-00405]
Funding text: This work has been partially supported by the GINOP-2.1.2-8-1-4-16-2018-00405 project. The project supported by the Doctoral Excellence Fellowship Programme (DCEP) is funded by the National Research Development and Innovation Fund of the Ministry of Culture and Innovation and the Budapest University of Technology and Economics, under a grant agreement with the National Research, Development and Innovation Office. The authors express their gratitude to the colleagues who helped them in the writing of this publication: Dr. Andras V8r8s and Dr. Oszkar Semerath from BME. The authors would also like to thank all former colleagues at BME, Quanopt, and Component Ltd. who helped with the implementation of the methods described.