Published January 27, 2021
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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-20210218-1576945-1-7Files
53004627.pdf
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Additional details
Identifiers
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