Research
I am fascinated by quantum information, machine learning, networks and primarily, the interface of these three. I’m particularly interested in using neural networks for understanding quantum phenomena on networks better.
Currently, I work as an SNSF Postdoc.Mobility fellow in Antonio Acín’s group (QIT group) at ICFO, Castelldefels (Barcelona).
Select publications
Closing the detection loophole in the triangle network with high-dimensional photonic states; Tamás Kriváchy, Martin Kerschbaumer, arXiv:2503.24213 (2025)
Topologically Robust Quantum Network Nonlocality; Sadra Boreiri*, Tamas Krivachy*, Pavel Sekatski*, Antoine Girardin, Nicolas Brunner, Phys. Rev. Lett. 134, 010202 (2025)
A neural network oracle for quantum nonlocality problems in networks; Tamás Kriváchy, Yu Cai, Daniel Cavalcanti, Arash Tavakoli, Nicolas Gisin & Nicolas Brunner, npj Quantum Information 6, 70 (2020)
Building separable approximations for quantum states via neural network; Antoine Girardin, Nicolas Brunner, Tamás Kriváchy, PRR 4, 023238 (2022)
Tight steering inequalities from generalized entropic uncertainty relations; Tamás Kriváchy, Florian Fröwis, Nicolas Brunner, PRA 98, 062111 (2018)
Open projects. Contact me to collaborate, if interested!
Emergent Complexity in Game of Life - April 9, 2024
Neural network-based entanglement/separability in realistic scenarios - April 17, 2023
Entanglement dimension witness from Rényi entropy-based uncertainty relations and few measurements. - March 31, 2023