Relating correlation measures: the importance of the energy gap
arXiv:1702.08422 · doi:10.1103/PhysRevA.95.032507
Abstract
The concept of correlation is central to all approaches that attempt the description of many-body effects in electronic systems. Multipartite correlation is a quantum information theoretical property that is attributed to quantum states independent of the underlying physics. In quantum chemistry, however, the correlation energy (the energy not seized by the Hartree-Fock ansatz) plays a more prominent role. We show that these two different viewpoints on electron correlation are closely related. The key ingredient turns out to be the energy gap within the symmetry-adapted subspace. We then use a few-site Hubbard model and the stretched H to illustrate this connection and to show how the corresponding measures of correlation compare.
6 pages, 3 figures
References in corpus (9)
- Entanglement Spectrum as a Generalization of Entanglement Entropy: Identification of Topological Order in Non-Abelian Fractional Quantum Hall Effect States
- Two Fermions in a double well: Exploring a fundamental building block of the Hubbard model
- Entanglement, Particle Identity and the GNS Construction: A Unifying Approach
- Entanglement and Particle Identity: A Unifying Approach
- Pinning of Fermionic Occupation Numbers
- Separability Criteria and Entanglement Measures for Pure States of N Identical Fermions
- Static correlation and electron localization in molecular dimers from the self-consistent RPA and GW approximation
- Entanglement in N-harmonium: bosons and fermions
- Natural Extension of Hartree-Fock through extremal -fermion information: Overview and application to the lithium atom
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