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 a postdoc in Marcus Huber’s group (QuIT group) at Atominstitut, TU Wien. From July 2023 I will be moving on as a Postdoc.Mobility fellow to ICFO, Barcelona.
Select publications
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)
Single-photon nonlocality in quantum networks; Paolo Abiuso*, Tamás Kriváchy*, Emanuel-Cristian Boghiu, Marc-Olivier Renou, Alejandro Pozas-Kerstjens, and Antonio Acín, PRR 4, L012041 (2022)
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!
Connecting tensor network generative models with Bell nonlocality in networks - April 17, 2023
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
Which quantum states have correlations that are inexplicable with classical models? - March 1, 2023