Infinite time-evolving block decimation algorithm beyond unitary evolution
By Roman Orus, Guifré Vidal. 2008
323 citations recorded by the source corpus.
Subfields: Atomic and Molecular Physics, and Optics, Condensed Matter Physics
View Paper: https://www.semanticscholar.org/paper/bfc713f413a6ab58e2d1225337037cac79db34a8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atomic and Molecular Physics, and Optics
- L. Vanderstraeten
- J. Haegeman
- Frank Verstraete
- Marko Znidaric
- Tomaz Prosen
- Rosario Fazio
- Philippe Corboz
- Jiasen Jin
In Condensed Matter Physics
- L. Vanderstraeten
- J. Haegeman
- Frank Verstraete
- Jonathan Keeling
- Tomaz Prosen
- Marko Znidaric
- Rosario Fazio
- Philippe Corboz
Citations in the corpus
- Gradient methods for variational optimization of projected entangled-pair states (2016, background): “Whereas MPS approximations for fixed points go way back [45], a variety of efficient tensor-network methods have been developed [7,46] recently.”
- Cluster mean-field approach to the steady-state phase diagram of dissipative spin systems (2016, methodology): “In onedimensional systems, where we do not expect any phase transition, the cluster mean-field together with quantum trajectories and MPO allows to recover this result.”
- Tangent-space methods for uniform matrix product states (2018, methodology): “Ten years later these works led to contraction algorithms based on the time-evolving block decimation [17] or the corner transfer matrix renormalization group [56].”
- Matrix product simulations of non-equilibrium steady states of quantum spin chains (2008, methodology): “These ideas have been further developed by treating periodic boundary conditions [10], two-dimensional and higher lattices [11], translationally invariant systems [12, 13], and generalizing the MPS ansatz to tensor tree networks describing critical models [14].”