19 citations · 60 across the 15 of their papers we have counts for
9 papers · 1 filter
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…
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 (…
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,…