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 Return Fellow in Renato Renner’s group (QIT group) at ETH Zürich.
Select publications
Closing the detection loophole in the triangle network with high-dimensional photonic states; Tamás Kriváchy, Martin Kerschbaumer, Phys. Rev. Lett. 135, 160803 (2025)
Topologically Robust Quantum Network Nonlocality; Sadra Boreiri*, Tamas Krivachy*, Pavel Sekatski*, Antoine Girardin, Nicolas Brunner, Phys. Rev. Lett. 134, 010202 (2025)
Experimental genuine quantum nonlocality in the triangle network; Ning-Ning Wang, Chao Zhang, Huan Cao, Kai Xu, Bi-Heng Liu, Yun-Feng Huang, Chuan-Feng Li, Guang-Can Guo, Nicolas Gisin, Tamás Kriváchy, Marc-Olivier Renou, Phys. Rev. Lett. 136, 180202 (2026)
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, Phys. Rev. Res. 4, 023238 (2022)
Tight steering inequalities from generalized entropic uncertainty relations; Tamás Kriváchy, Florian Fröwis, Nicolas Brunner, Phys. Rev. A 98, 062111 (2018)