SeQuant introduces a graph-theoretic tensor network canonicalizer for efficient symbolic manipulation and numerical evaluation of tensors over commutative and non-commutative rings, with support for noncovariant and nested tensors.
Saitow , author Y
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
Tree tensor network states combined with DMRG allow accurate full-dimensional computations of thousands of vibrational eigenstates for molecules ranging from small benchmarks to 33-dimensional protonated water clusters.
citing papers explorer
-
SeQuant Framework for Symbolic and Numerical Tensor Algebra. I. Core Capabilities
SeQuant introduces a graph-theoretic tensor network canonicalizer for efficient symbolic manipulation and numerical evaluation of tensors over commutative and non-commutative rings, with support for noncovariant and nested tensors.
-
Accurate, full-dimensional computations of thousands of complex vibrational eigenstates with tree tensor network states
Tree tensor network states combined with DMRG allow accurate full-dimensional computations of thousands of vibrational eigenstates for molecules ranging from small benchmarks to 33-dimensional protonated water clusters.