Optimizing the density-matrix renormalization group method using quantum information entropy

By Ö. Legeza, J. Sólyom. 2003

260 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Atomic and Molecular Physics, and Optics

View Paper: https://www.semanticscholar.org/paper/54218228801fab1dd59dceb9ebaf1b255c0d361d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. V. Murg
2. Reinhold Schneider
3. Frank Verstraete
4. Sebastian Wouters
5. Dimitri Van Neck
6. Pasquale Calabrese
7. J. Cardy
8. M. B. Hastings

In Atomic and Molecular Physics, and Optics

1. Sebastian Wouters
2. Dimitri Van Neck
3. Reinhold Schneider
4. Frank Verstraete
5. V. Murg
6. Gergely Barcza
7. Szilárd Szalay
8. Max Pfeffer

Citations in the corpus

• Tensor product methods and entanglement optimization for ab initio quantum chemistry (2014, background): “(127) If we choose orthogonal bases for |ξ 1 〉, .”
• The density matrix renormalization group for ab initio quantum chemistry (2014, methodology): “e static correlation at stretched geometries.They areoptimal testcases for QC-DMRG. – All-trans polyenes [68, 78, 81, 90, 95, 116, 119]: they are also one-dimensional, with a large MR character. – N2 [67, 68, 72, 73, 75, 82, 83, 109, 112, 113, 115, 116] was already the subject of several FCI studies”