Introduces a parallelizable hybrid tensor network algorithm for time-evolving matrix product states that combines classical BUG integration with quantum methods without synchronization barriers.
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Tensor network scans reveal that the stationary spin entanglement entropy ridge follows population phase boundaries at small s but lacks the two-branch structure at large s in the sub-Ohmic spin-boson model.
DMRG simulations of the Hubbard model on fullerenes find a lower Mott transition in C20 than prior estimates, repulsive pair binding, and Hund's rule breaking in C40 and C60 consistent with an electronic superconductivity mechanism.
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Time Evolution on Hybrid Tensor Networks -- A Novel and Parallelizable Algorithm
Introduces a parallelizable hybrid tensor network algorithm for time-evolving matrix product states that combines classical BUG integration with quantum methods without synchronization barriers.
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Entanglement structure of the dynamical phases in the sub-Ohmic spin-boson model
Tensor network scans reveal that the stationary spin entanglement entropy ridge follows population phase boundaries at small s but lacks the two-branch structure at large s in the sub-Ohmic spin-boson model.
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Pair binding and Hund's rule breaking in high-symmetry fullerenes
DMRG simulations of the Hubbard model on fullerenes find a lower Mott transition in C20 than prior estimates, repulsive pair binding, and Hund's rule breaking in C40 and C60 consistent with an electronic superconductivity mechanism.