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20212026
most citedBuilding separable approximations for quantum states via neural networks

29 citations · 73 across the 7 of their papers we have counts for

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7 papers

quant-ph2026

A versatile neural-network toolbox for testing Bell locality in networks

Antoine Girardin, Mohammad Massi Rashidi, Géraldine Haack +2

Determining whether an observed distribution of events generated in a quantum network is Bell local, i.e., if it admits an alternative realization in terms of independent local var…

quant-ph2025★ 1 cited

Catalytic Activation of Bell Nonlocality

Jessica Bavaresco, Nicolas Brunner, Antoine Girardin +2

The correlations of certain entangled states can be perfectly simulated classically via a local model. Hence such states are termed Bell local, as they cannot lead to Bell inequali…

quant-ph2024★ 8 cited

Topologically Robust Quantum Network Nonlocality

Sadra Boreiri, Tamas Krivachy, Pavel Sekatski +2

We discuss quantum network Bell nonlocality in a setting where the network structure is not fully known. More concretely, an honest user may trust their local network topology, but…

quant-ph2023★ 2 cited

Violation of the Finner inequality in the four-output triangle network

Antoine Girardin, Nicolas Gisin

Network nonlocality allows one to demonstrate nonclassicality in networks with fixed joint measurements, that is without random measurement settings. The simplest network in a loop…

quant-ph2023★ 9 cited

Post-quantum nonlocality in the minimal triangle scenario

Alejandro Pozas-Kerstjens, Antoine Girardin, Tamás Kriváchy +2

We investigate network nonlocality in the triangle scenario when all three parties have no input and binary outputs. Through an explicit example, we prove that this minimal scenari…

quant-ph2022★ 24 cited

Towards a minimal example of quantum nonlocality without inputs

Sadra Boreiri, Antoine Girardin, Bora Ulu +3

The network scenario offers interesting new perspectives on the phenomenon of quantum nonlocality. Notably, when considering networks with independent sources, it is possible to de…

quant-ph2021★ 29 cited

Building separable approximations for quantum states via neural networks

Antoine Girardin, Nicolas Brunner, Tamás Kriváchy

Finding the closest separable state to a given target state is a notoriously difficult task, even more difficult than deciding whether a state is entangled or separable. To tackle…