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Quantum Many-Body Days – R. Melko & F. Verstraete
September 14, 2021 @ 10:00 am - 12:00 pm
The conference on Recent Progress in Many-Body Theories (RPMBT) will take place here at UNC in September 2022.
As a bridge program, this year we are hosting a series of virtual talks in September 2021: the Quantum Many-Body Days.
The format of these talks will be 45 minutes for presentation and 15 minutes for questions and discussion. Please see below links for more information.
More information here: https://tarheels.live/rpmbt21/schedule/
Zoom link: https://unc.zoom.us/j/94760934546, p/w: 314159
YouTube live link: https://www.youtube.com/channel/UCOUN5aVy-vUWgwm4CxloGTw
Local organizing committee
J. Drut (Chair), G. Basar, A. Nicholson, S. Chandrasekharan, L. Mitas, and T. Papenbrock
September 14th, 2021: Machine learning and computational physics
“Reconstructing quantum states with generative models”
R. Melko – 10am
Session chair: Nicholson
Generative models are a powerful tool in unsupervised machine learning, where the goal is to learn the unknown probability distribution that underlies a data set. Recently, it has been demonstrated that modern generative models adopted from industry are powerful enough to reconstruct quantum states, given projective measurement data on individual qubits. These virtual reconstructions can then be studied with probes that may be unavailable to the original experiment. In this talk I will outline the strategy for quantum state reconstruction using generative models, and show examples on experimental data from a Rydberg atom quantum simulator. I will discuss the continuing theoretical development of the field, including the exploration of powerful autoregressive models for the reconstruction of mixed and time-evolved quantum states.
“Simulating strongly correlated systems with tensor networks”
F. Verstraete – 11am
Session chair: Ortiz
Tensor networks model the entanglement degrees of freedom of quantum many-body wavefunctions, and give rise to a powerful variational ansatz for simulating low-energy states of the corresponding quantum Hamiltonians. This talk will highlight recent advances in the field of tensor networks, including entanglement scaling methods, state of the art PEPS algorithms, and the description of symmetries in topological phases of matter.