Transformer Neural-Network Quantum States for lattice models of spins and fermions: Application to the Ancilla Layer Model
cond-mat.str-el, cond-mat.dis-nn
Submitted: 2026-03-02
Updated: 2026-09-17
Terminology
Sources
- Approaching the Thermodynamic Limit with Neural-Network Quantum States
- Solving the Hubbard model with Neural Quantum States
- Superconductivity in the two-dimensional Hubbard model revealed by neural quantum states
- Structure and dynamics of electron-phonon coupled systems using neural quantum states
- Quantum Spin Glass in the Two-Dimensional Disordered Heisenberg Model via Foundation Neural-Network Quantum States
- A Self-Attention Ansatz for Ab-initio Quantum Chemistry
- Comparing Symmetrized Determinant Neural Quantum States for the Hubbard Model
- Transformer-Based Neural Networks Backflow for Strongly Correlated Electronic Structure
- Fractionalized Fermi liquids and the cuprate phase diagram
- Small to large Fermi surface transition in a single band model, using randomly coupled ancillas
- Electronic spectra with paramagnon fractionalization in the single band Hubbard model
- Spin-Gap Proximity Effect Mechanism of High Temperature Superconductivity
- One-Dimensional Fermi liquids
- From the pseudogap metal to the Fermi liquid using ancilla qubits
- Deconfined criticality and ghost Fermi surfaces at the onset of antiferromagnetism in a metal
- Spin density wave, Fermi liquid, and fractionalized phases in a theory of antiferromagnetic metals using paramagnons and bosonic spinons
- A model of $d$-wave superconductivity, antiferromagnetism, and charge order on the square lattice
- Emergence of nodal Bogoliubov quasiparticles across the transition from the pseudogap metal to the d-wave superconductor
- Quantum oscillations in the hole-doped cuprates and the confinement of spinons
- Thermal SU(2) lattice gauge theory for intertwined orders and hole pockets in the cuprates
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