Simulating superconductivity in mixed-dimensional $t_\parallel$-${J}_\parallel$-${J}_\perp$ bilayers with neural quantum states
Hannah Lange, Ao Chen, Antoine Georges, Fabian Grusdt, Annabelle Bohrdt, Christopher Roth

TL;DR
This paper uses neural quantum states to simulate a bilayer model inspired by nickelate superconductors, revealing diverse pairing behaviors and phase transitions, and providing the first high-precision numerical evidence of superconductivity in such systems.
Contribution
First application of neural quantum states to simulate a fermionic multi-orbital bilayer system, demonstrating superconductivity and pairing transitions with high accuracy.
Findings
Superconductivity observed across various dopings and couplings.
Crossover from Bose-Einstein to BCS-like pairs with changing interlayer exchange.
Transition from interlayer s-wave to intralayer d-wave pairing.
Abstract
Motivated by the recent discovery of superconductivity in the bilayer nickelate LaNiO (LNO) under pressure, we study a mixed-dimensional (mixD) bilayer -- model, which has been proposed as an effective low-energy description of LNO. Using neural quantum states (NQS), and in particular Gutzwiller-projected Hidden Fermion Pfaffian State, we access the ground-state properties on large lattices up to sites. We show that this model exhibits superconductivity across a wide range of dopings and couplings, and analyze the pairing behavior in detail. We identify a crossover from tightly bound, Bose-Einstein-condensed interlayer pairs at strong interlayer exchange to more spatially extended Bardeen-Cooper-Schrieffer-like pairs as the interlayer exchange is decreased. Furthermore, upon tuning the intralayer exchange, we observe a…
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Taxonomy
TopicsPhysics of Superconductivity and Magnetism · Chemical and Physical Properties of Materials · Iron-based superconductors research
