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The Journal of Chemical Physics|April 12, 2013
Efficient tree tensor network states (TTNS) for quantum chemistry: generalizations of the density matrix renormalization group algorithmNaoki Nakatani, Garnet Kin-Lic ChanThe Journal of Chemical Physics|January 21, 2014
Linear response theory for the density matrix renormalization group: efficient algorithms for strongly correlated excited statesNaoki Nakatani, Sebastian Wouters, Dimitri Van Neck, et al.Faraday Discussions|September 11, 2024
Spiers Memorial Lecture: Quantum chemistry, classical heuristics, and quantum advantageGarnet Kin-Lic ChanThe Journal of Chemical Physics|July 23, 2004
An algorithm for large scale density matrix renormalization group calculationsGarnet Kin-Lic ChanPhysical Chemistry Chemical Physics : PCCP|June 7, 2008
Density matrix renormalisation group LagrangiansGarnet Kin-Lic ChanThe Journal of Chemical Physics|July 11, 2016
Matrix product operators, matrix product states, and ab initio density matrix renormalization group algorithmsGarnet Kin-Lic Chan, Anna Keselman, Naoki Nakatani, et al.The Journal of Chemical Physics|January 24, 2015
The ab-initio density matrix renormalization group in practiceRoberto Olivares-Amaya, Weifeng Hu, Naoki Nakatani, et al.Physical Review Letters|October 16, 2020
Dynamical Phase Transitions in a 2D Classical Nonequilibrium Model via 2D Tensor NetworksPhillip Helms, Garnet Kin-Lic ChanThe Journal of Chemical Physics|March 3, 2016
Hilbert space renormalization for the many-electron problemZhendong Li, Garnet Kin-Lic ChanProceedings of the National Academy of Sciences of the United States of America|February 5, 2026
Predictive free energy simulations through hierarchical distillation of quantum HamiltoniansChenghan Li, Garnet Kin-Lic ChanPageof 17