Bohrdt Group – Erweiterte Talk-Links
Bohrdt Group
Talks by Annabelle Bohrdt
Selected Recorded Talks
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Connecting numerical methods, quantum simulation, and materials
eQMA/QMAE · October 2024
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Probes for pairing in Fermi-Hubbard type models
Quantum M Seminar · May 2024
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Early Career Scholars at the University of Regensburg: Annabelle Bohrdt
University of Regensburg · October 2023
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Friedrich Hirzebruch Dissertation Prize: Dr. Annabelle Bohrdt
Studienstiftung des deutschen Volkes · October 2023
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How to (try to) solve quantum many-body problems
Perimeter Institute Colloquium · March 2023
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Insights into quantum many-body systems through Hamiltonian reconstruction
Hamburg CUI Conference · 2022
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Short summary of thesis work
MCQST Conference · 2022
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Tackling old problems with new tools: from frustration to pairing
Perimeter Institute · October 2022
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Getting the most out of your measurements
Perimeter Institute · February 2022
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Strong pairing in bilayer antiferromagnetic Mott insulators
Quantum Theory Seminar, Cornell University · October 2021
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3 minute thesis summary – Quantum Future Award Pitch
Quantum Future Award · 2021
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Quantum gas microscopy & machine learning
QTML (invited) · November 2020
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Probing dynamics in quantum simulators
Quantum Chaos Seminar Series · October 2020
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Selected Invited Conference Talks
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How to find and probe pairs in doped quantum antiferromagnets
Korrelationstage, Dresden · 2023
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Pairing in the Fermi-Hubbard model and its relatives
BEC Conference, San Feliu · 2023
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Pairing in the t-J model and its relatives
Next Generation in Strongly Correlated Electron Systems, Lido di Fermo · 2023
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Neural quantum states for strongly correlated systems: learning from data and Hamiltonians
MCQST Conference · 2023
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Machine learning for quantum data
Spring School on Open-Source Tools for Quantum Computing & Simulation, ICFO · 2023
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Insights into quantum many-body systems through Hamiltonian reconstruction
CUI Conference on Machine Learning & Science, Hamburg · 2022
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A new perspective on pairing in quantum antiferromagnets
GRS on Quantum Science, Stonehill College · 2022
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Active learning for quantum state tomography & pairing in the t-J model
GRC on Correlated Electron Systems, Holyoke College · 2022
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Strong pairing in bilayer antiferromagnetic Mott insulators
APS DAMOP · 2022
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One, two, many holes: new insights into the doped Fermi-Hubbard model
APS DAMOP Deborah Jin Award Session · May 2022
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Spectroscopic probes for doped quantum magnets – new directions
APS March Meeting · 2022
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New insights into the Fermi-Hubbard model in and out of equilibrium
DPG Symposium SAMOP Dissertation Prize · 2022
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Tackling quantum many-body problems with artificial intelligence
IAS Symposium, TU Munich · January 2022
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Strong pairing in mixed dimensional bilayer antiferromagnetic Mott insulators
Hamburg Theoretical Physics Symposium · November 2021
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Quantum gas microscopy and machine learning
QTML · November 2020
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String patterns and machine learning: Probing the Fermi-Hubbard model with cold atoms
APS DAMOP · June 2020
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Classifying snapshots of the doped Fermi-Hubbard model with machine learning
APS March Meeting · March 2020
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New probes of the Fermi-Hubbard model
Korrelationstage, Dresden · September 2019
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Selected Invited Seminar Talks
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Neural quantum states for strongly correlated systems: learning from data & Hamiltonians
ULB Brussels · January 2024
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Insights into quantum many-body systems through quantum simulation and Hamiltonian reconstruction
FAU Erlangen · October 2023
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Interpretable neural network architectures and their application to quantum many-body systems
USM LMU · June 2023
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A guided tour through the Fermi-Hubbard model and its relatives via snapshots
University of Bonn · May 2023
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How to (try to) solve quantum many-body problems
Perimeter Institute · March 2023
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Looking for fluctuations: unsupervised, interpretable ML analysis of Heisenberg data
ETH Zurich · March 2023
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Insights into quantum many-body systems through quantum simulation & Hamiltonian reconstruction
Augsburg University · February 2023
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Interplay of spin and charge: stripes, pairing and frustration
Oxford University · November 2022
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Tackling quantum many-body problems with (artificial) intelligence
ETH Zürich · October 2022
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Tackling old problems with new tools: from frustration to pairing
Perimeter Institute · October 2022
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Active and machine learning for quantum data
Pritzker School of Molecular Engineering, UChicago · May 2022
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Getting the most out of your measurements: neural networks and active learning
ECE Seminar, Princeton University · March 2022
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Getting the most out of your measurements: neural networks and active learning
CM Theory & ML Seminar, Perimeter Institute · February 2022
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Tackling quantum many-body problems with (artificial) intelligence
Condensed Matter Seminar, Princeton University · February 2022
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Dynamical probes of strongly correlated quantum many-body systems
Universität Regensburg · January 2022
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Tackling quantum many-body problems with (artificial) intelligence
Physics Colloquium, University of Chicago · January 2022
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Strong pairing in mixed dimensional bilayer antiferromagnetic Mott insulators
Vishwanath Group Seminar, Harvard · December 2021
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Dynamics of a single hole in a quantum antiferromagnet
Hafezi Group Seminar, Maryland/JQI · December 2021
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Parton dynamics and Regge trajectories of rotational meson states
University of Warsaw · April 2021
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Higher order correlations in doped quantum antiferromagnets
Cirac Group Seminar, MPQ · March 2021
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Rotational resonances and Regge trajectories in lightly doped antiferromagnets
Sachdev Group Seminar, Harvard · February 2021
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Hole dynamics and ARPES spectra in quantum antiferromagnets
Demler Group Seminar, Harvard · November 2019
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Probing the Fermi-Hubbard model with ultracold atoms: equilibrium and dynamics
Condensed Matter Theory Seminar, LMU München · October 2019
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For questions, please contact a.bohrdt@lmu.de