For more information about this meeting, contact Robin Enderle, Chao Tian.
|Title:||Tensor Product and its Applications in Physical Algorithms|
|Seminar:||SIAM Student Chapter Seminar|
|Speaker:||Yufei Shen, Pennsylvania State University|
|Quantum theory, in essence, is solving a differential equation called Schrödinger's Equation. For a strongly correlated system, this differential equation is notoriously hard to solve since the eigen-space becomes too big even for supercomputers. One method to solve it numerically is called Time Evolving Block Decimation (TEBD), which use Matrix Product State (MPS) to represent the space of eigenvectors. This method, by embracing quantum entanglement in the approximation, only keeps those eigenstates which are physically significant, thus greatly reduces computational cost. I will also show some results of this method by solving the Bose-Hubbard Hamiltonian.|
Room Reservation Information
|Date:||04 / 02 / 2013|
|Time:||05:00pm - 06:30pm|