The Universal Neural Propagator is a single neural model trained self-supervised to predict time evolution in driven quantum many-body systems across arbitrary protocols and initial states.
Schollw¨ ock, The density-matrix renormalization group, Reviews of Modern Physics77, 259 (2005)
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DMRG on honeycomb cylinders and slave-boson mean-field theory find a robust t'-induced d-wave SC phase coexisting with armchair stripes for moderate t', transitioning to uniform nematic SC at large t' for doping 1/8.
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Universal Neural Propagator: Learning Time Evolution in Many-Body Quantum Systems
The Universal Neural Propagator is a single neural model trained self-supervised to predict time evolution in driven quantum many-body systems across arbitrary protocols and initial states.
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Superconductivity and competing orders in honeycomb $t$-$J$ model: interplay of lattice geometry and next-nearest-neighbor hopping
DMRG on honeycomb cylinders and slave-boson mean-field theory find a robust t'-induced d-wave SC phase coexisting with armchair stripes for moderate t', transitioning to uniform nematic SC at large t' for doping 1/8.