Unifying variational methods for simulating quantum many-body systems

Research output: Contribution to journalArticleResearchpeer review

Authors

  • C. M. Dawson
  • J. Eisert
  • Tobias J. Osborne

External Research Organisations

  • Imperial College London
  • University of Potsdam
  • Royal Holloway University of London
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Details

Original languageEnglish
Article number130501
JournalPhysical Review Letters
Volume100
Issue number13
Publication statusPublished - 31 Mar 2008
Externally publishedYes

Abstract

We introduce a unified formulation of variational methods for simulating ground state properties of quantum many-body systems. The key feature is a novel variational method over quantum circuits via infinitesimal unitary transformations, inspired by flow equation methods. Variational classes are represented as efficiently contractible unitary networks, including the matrix-product states of density matrix renormalization, multiscale entanglement renormalization (MERA) states, weighted graph states, and quantum cellular automata. In particular, this provides a tool for varying over classes of states, such as MERA, for which so far no efficient way of variation has been known. The scheme is flexible when it comes to hybridizing methods or formulating new ones. We demonstrate the functioning by numerical implementations of MERA, matrix-product states, and a new variational set on benchmarks.

ASJC Scopus subject areas

Cite this

Unifying variational methods for simulating quantum many-body systems. / Dawson, C. M.; Eisert, J.; Osborne, Tobias J.
In: Physical Review Letters, Vol. 100, No. 13, 130501, 31.03.2008.

Research output: Contribution to journalArticleResearchpeer review

Dawson CM, Eisert J, Osborne TJ. Unifying variational methods for simulating quantum many-body systems. Physical Review Letters. 2008 Mar 31;100(13):130501. doi: 10.1103/PhysRevLett.100.130501
Dawson, C. M. ; Eisert, J. ; Osborne, Tobias J. / Unifying variational methods for simulating quantum many-body systems. In: Physical Review Letters. 2008 ; Vol. 100, No. 13.
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