Laszlo Gyongyosi received the MSc and PhD degrees from the Budapest University of Technology and Economics (BME). His research interests include quantum information, quantum computation and quantum communication. He is a research scientist at the BME Department of Networked Systems and Services, and at the Hungarian Academy of Sciences (MTA).

Selected publications

  • Laszlo Gyongyosi, Sandor Imre: Scalable Distributed Gate-Model Quantum Computers, Scientific Reports, ‎Nature, DOI: 10.1038/s41598-020-76728-5 (2021).
  • Laszlo Gyongyosi: Decoherence Dynamics Estimation for Superconducting Gate-Model Quantum Computers, Quantum Information Processing, DOI: 10.1007/s11128-020-02863-7 (2020).
  • Laszlo Gyongyosi, Sandor Imre: Training Optimization for Gate-Model Quantum Neural Networks, Scientific Reports, ‎Nature, DOI: 10.1038/s41598-019-48892-w (2019).
  • Laszlo Gyongyosi, Sandor Imre, Hung Viet Nguyen: A Survey on Quantum Channel Capacities, IEEE Communications Surveys and Tutorials, IEEE, DOI: 10.1109/COMST.2017.2786748, (2018).
  • Laszlo Gyongyosi, Sandor Imre: Decentralized Base-Graph Routing for the Quantum Internet, Physical Review A, DOI: 10.1103/PhysRevA.98.022310 (2018).