ELFT HÍRADÓ

[Janos Asboth <asboth.janos AT ttk.bme.hu>]

Meghívó

BME Elméleti Fizika Szeminárium,

jún. 9. péntek 10h15,

1111 Budapest, Budafoki út 8., BME F III. magasföldszint 01.,
Elméleti Fizika Tanszék szemináriumi szoba

Kriváchy Tamás (TU Wien, Atominstitut):
Generative neural network for quantum correlations

Quantum correlations, formalized in concepts such as entanglement or Bell
nonlocality, are at the heart of modern quantum theory, and form the
foundation of many of its applications. In certain cases their study
becomes analytically difficult and we are forced to use numerical tools to
aid us. In recent decades artificial neural networks have proven to have
exceptional expressibility and trainability in a wide variety of scenarios.
In this talk I aim to display several ways in which neural networks can
help us in the study of foundations of quantum theory, with a focus on
simple generative models. Such techniques can be helpful when it becomes
difficult to work with quantum systems, e.g. when examining many particles
or non-convex problems. While showing a few other illustrative use-cases,
the primarily demonstrated case study of the use of neural networks will be
Bell-nonlocal correlations in networks [1], with the hope of sparking ideas
of how such numerics can be useful in assisting theoretical research in
other fields.

[1]: T. Kriváchy et al, "A neural network oracle for quantum nonlocality
problems in networks", npj Quant Inf 6, 70 (2020)

Minden érdeklődőt szeretettel várunk.
Asbóth János,
 szemináriumi koordinátor