5 papers
On the generalization of the exponential basis for tensor network representations of long-range interactions in two and three dimensions
Zhendong Li, Matthew J. O'Rourke, Garnet Kin-Lic Chan
In one dimension (1D), a general decaying long-range interaction can be fit to a sum of exponential interactions with varying exponents , each of which can be rep…
The electronic complexity of the ground-state of the FeMo cofactor of nitrogenase as relevant to quantum simulations
Zhendong Li, Junhao Li, Nikesh S. Dattani +2
We report that a recent active space model of the nitrogenase FeMo cofactor, proposed in the context of quantum simulations, is not representative of the electronic structure of th…
Efficient representation of long-range interactions in tensor network algorithms
Matthew J. O'Rourke, Zhendong Li, Garnet Kin-Lic Chan
We describe a practical and efficient approach to represent physically realistic long-range interactions in two-dimensional tensor network algorithms via projected entangled-pair o…
An efficient stochastic algorithm for the perturbative density matrix renormalization group in large active spaces
Sheng Guo, Zhendong Li, Garnet Kin-Lic Chan
We present an efficient stochastic algorithm for the recently introduced perturbative density matrix renormalization group (p-DMRG) method for large active spaces. The stochastic i…
Matrix Product Operators, Matrix Product States, and ab initio Density Matrix Renormalization Group algorithms
Garnet Kin-Lic Chan, Anna Keselman, Naoki Nakatani +2
Current descriptions of the ab initio DMRG algorithm use two superficially different languages: an older language of the renormalization group and renormalized operators, and a mor…