19 citations · 60 across the 15 of their papers we have counts for
16 papers
Neural-quantum-state based downfolding of the three-band Emery model for cuprates and nickelates
Hannah Lange, Julius F. A. Tirpitz, Annabelle Bohrdt
Understanding the physics underlying high-temperature superconductivity in cuprates and, more recently, infinite-layer nickelates has remained a central challenge in condensed-matt…
Realizing the Emery Model in Optical Lattices for Quantum Simulation of Cuprates and Nickelates
Hannah Lange, Liyang Qiu, Robin Groth +7
The microscopic origin of high-temperature superconductivity in cuprates remains one of the central open questions in condensed matter physics. Growing experimental and theoretical…
Simulating superconductivity in mixed-dimensional -- bilayers with neural quantum states
Hannah Lange, Ao Chen, Antoine Georges +3
Motivated by the recent discovery of superconductivity in the bilayer nickelate LaNiO (LNO) under pressure, we study a mixed-dimensional (mixD) bilayer -$J…
Connecting single-layer - to Kondo lattice models: Exploration with cold atoms
Hannah Lange, Eugene Demler, Jan von Delft +2
The Kondo effect, a hallmark of many-body physics, emerges from the antiferromagnetic coupling between localized spins and conduction fermions, leading to a correlated many-body si…
Towards effective models for low-dimensional cuprates: From ground state Hamiltonian reconstruction to spectral functions
Hannah Lange, Tizian Blatz, Ulrich Schollwöck +2
Understanding which minimal effective model captures the essential physics of cuprates is a key step towards unraveling the mechanism behind high- superconductivity. Recent me…
Extended -wave pairing from an emergent Feshbach resonance in bilayer nickelate superconductors
Pietro Borchia, Hannah Lange, Fabian Grusdt
Since the discovery of unconventional superconductivity in cuprates, unraveling the pairing mechanism of charge carriers in doped antiferromagnets has been a long-standing challeng…
Simulating the two-dimensional model at finite doping with neural quantum states
Hannah Lange, Annika Böhler, Christopher Roth +1
Simulating large, strongly interacting fermionic systems remains a major challenge for existing numerical methods. In this work, we introduce Gutzwiller projected hidden fermion de…
Autoregressive neural quantum states of Fermi Hubbard models
Eduardo Ibarra-García-Padilla, Hannah Lange, Roger G Melko +4
Neural quantum states (NQS) have emerged as a powerful ansatz for variational quantum Monte Carlo studies of strongly-correlated systems. Here, we apply recurrent neural networks (…
Local control and mixed dimensions: Exploring high-temperature superconductivity in optical lattices
Henning Schlömer, Hannah Lange, Titus Franz +7
The simulation of high-temperature superconducting materials by implementing strongly correlated fermionic models in optical lattices is one of the major objectives in the field of…
Transformer neural networks and quantum simulators: a hybrid approach for simulating strongly correlated systems
Hannah Lange, Guillaume Bornet, Gabriel Emperauger +5
Owing to their great expressivity and versatility, neural networks have gained attention for simulating large two-dimensional quantum many-body systems. However, their expressivity…
Neural Network Quantum States for the Interacting Hofstadter Model with Higher Local Occupations and Long-Range Interactions
Fabian Döschl, Felix A. Palm, Hannah Lange +2
Due to their immense representative power, neural network quantum states (NQS) have gained significant interest in current research. In recent advances in the field of NQS, it has…
From Architectures to Applications: A Review of Neural Quantum States
Hannah Lange, Anka Van de Walle, Atiye Abedinnia +1
Due to the exponential growth of the Hilbert space dimension with system size, the simulation of quantum many-body systems has remained a persistent challenge until today. Here, we…
Feshbach hypothesis of high-Tc superconductivity in cuprates
Lukas Homeier, Hannah Lange, Eugene Demler +2
Resonant interactions associated with the emergence of a bound state constitute one of the cornerstones of modern many-body physics, ranging from Kondo physics, BEC-BCS crossover,…
Neural network approach to quasiparticle dispersions in doped antiferromagnets
Hannah Lange, Fabian Döschl, Juan Carrasquilla +1
Numerically simulating spinful, fermionic systems is of great interest from the perspective of condensed matter physics. However, the exponential growth of the Hilbert space dimens…
Feshbach resonance in a strongly repulsive bilayer model: a possible scenario for bilayer nickelate superconductors
Hannah Lange, Lukas Homeier, Eugene Demler +3
Since the discovery of superconductivity in cuprate materials, the minimal ingredients for high-T superconductivity have been an outstanding puzzle. Motivated by the recently d…
Pairing dome from an emergent Feshbach resonance in a strongly repulsive bilayer model
Hannah Lange, Lukas Homeier, Eugene Demler +3
A key to understanding unconventional superconductivity lies in unraveling the pairing mechanism of mobile charge carriers in doped antiferromagnets, yielding an effective attracti…