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.
In my free time, I enjoy finding exploits in (quantum or classical) cryptographic protocols and bugs that exploit them (white hat of course).
Currently, I work as an SNSF Postdoc.Mobility fellow in Antonio Acín’s group (QIT group) at ICFO, Castelldefels (Barcelona).
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)
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