A neural network oracle for quantum nonlocality problems in networks

Understand

Characterizing quantum nonlocality in networks is a challenging, but important problem.

• Using quantum sources one can achieve distributions which are unattainable classically.
• A key point in investigations is to decide whether an observed probability distribution can be reproduced using only classical resources.
• This causal inference task is challenging even for simple networks, both analytically and using standard numerical techniques.