Thermodynamic limit of density matrix renormalization.
By S. Östlund, S. Rommer. 1995
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Sergey V. Dolgov
- Andrzej S. Cichocki
- Boris N. Khoromskij
- André Uschmajew
- Dmitry V. Savostyanov
- Anh Huy Phan
- Ivan V. Oseledets
- Qibin Zhao
Citations in the corpus
- A literature survey of low‐rank tensor approximation techniques (2013, neutral): “In this area, the term matrix product state (MPS) representation for the decomposition (5) has been established [218].”
- Entanglement in many-body systems (2007, background): “MPS, first discussed in (Fannes et al., 1992), appear naturally in the Density Matrix Renormalization Group (DMRG) (Ostlund and Rommer, 1995).”
- Geometry of Quantum States: Index (2007, background): “The link to MPS was forged by Östlund and Rommer (1995) [709].”
- Constructive Representation of Functions in Low-Rank Tensor Formats (2012, background): “A tensor A is said to be in the TT-format (also known in other research areas as Matrix Product States (MPS) [32]) if its elements satisfy [27, 29] where G k (i k ) are r k − 1 × r k matrices for each fixed i k .”
- Fast adaptive interpolation of multi-dimensional arrays in tensor train format (2011, methodology): “The idea of the Density Matrix Renormalization Group (DMRG), proposed by White [22] was only later realized as an idea of constrained optimization in the matrix product state [30].”
- Alternating Minimal Energy Methods for Linear Systems in Higher Dimensions (2013, methodology): “[36, 26] for the ground state problem in Quantum Physics.”
- Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives (2017, background): “In [Östlund and Rommer, 1995] pointed out that the wave function generated by the DMRG iteration is a matrix product state.”
- Efficient quantum state tomography. (2010, methodology): “For this task standard methods have been developed in condensed matter physics [13, 29] for which the number of parameters scale polynomially in the system size and converge rapidly [30, 31] to the optimal MPS approximation.”
- DMRG+QTT approach to computation of the ground state for the molecular Schrödinger operator (2010, methodology): “3) are used for quite a long time [45, 8].”