Recurrence plots of two-site correlations in the quenched 1D transverse-field Ising model transition from periodic to multiscale structures across the ferromagnetic-to-paramagnetic transition, and recurrence quantifiers recover the critical field strength in an unsupervised manner.
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AL-ATCI uses active learning to identify the relevant determinant manifold in configuration-interaction impurity solvers, achieving weak scaling with bath size and reproducing exact-diagonalization accuracy for Hubbard model clusters up to size 10 and Sr2RuO4 impurities.
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Recurrence analysis of quantum many-body dynamics
Recurrence plots of two-site correlations in the quenched 1D transverse-field Ising model transition from periodic to multiscale structures across the ferromagnetic-to-paramagnetic transition, and recurrence quantifiers recover the critical field strength in an unsupervised manner.
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A Scalable Configuration-Interaction Impurity Solver via Active Learning
AL-ATCI uses active learning to identify the relevant determinant manifold in configuration-interaction impurity solvers, achieving weak scaling with bath size and reproducing exact-diagonalization accuracy for Hubbard model clusters up to size 10 and Sr2RuO4 impurities.