Published January 27, 2021 | Version v1
Miscellaneous Open

Probing strongly correlated many-body systems with quantum simulation

Description

We propose new schemes to implement and probe strongly interacting phases of matter in and out of equilibrium with quantum simulation experiments. We probe the Fermi-Hubbard model by studying higher-order correlations and the spectral function, and by applying pattern analysis and machine learning techniques. In the Bose-Hubbard model we study scrambling of information as well as thermalization and the absence thereof. We investigate the latter case in a quantum gas microscope and through interferometric probes accessible to superconducting qubits.

Availability note (English)

Also available from: http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:91-diss-20210218-1576945-1-7

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Additional details

Publishing Information

Imprint Pagination
365 p.
Report number
INIS-DE--3269

INIS

Country of Publication
Germany
Country of Input or Organization
Germany
INIS RN
53004627
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Resource subtype / Literary indicator
Thesis
Descriptors DEI
HUBBARD MODEL; MACHINE LEARNING; MANY-BODY PROBLEM; MICROSCOPES; QUBITS; SPECTRAL FUNCTIONS; THERMALIZATION
Descriptors DEC
ALGORITHMS; ARTIFICIAL INTELLIGENCE; CRYSTAL MODELS; FUNCTIONS; INFORMATION; LEARNING; MATHEMATICAL LOGIC; MATHEMATICAL MODELS; QUANTUM INFORMATION; SLOWING-DOWN