Continuous Matrix Product States for Quantum Fields: An Energy Minimization Algorithm

The generalization of matrix product states (MPS) to continuous systems, as proposed in the breakthrough Letter of Verstraete and Cirac [Phys. Rev. Lett. 104, 190405 (2010).PRLTAO0031-900710.1103/PhysRevLett.104.190405], provides a powerful variational ansatz for the ground state of strongly interac...

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Bibliographic Details
Published in:Physical review letters Vol. 118; no. 22; p. 220402
Main Authors: Ganahl, Martin, Rincón, Julián, Vidal, Guifre
Format: Journal Article
Language:English
Published: United States American Physical Society 02.06.2017
ISSN:0031-9007, 1079-7114, 1079-7114
Online Access:Get full text
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Summary:The generalization of matrix product states (MPS) to continuous systems, as proposed in the breakthrough Letter of Verstraete and Cirac [Phys. Rev. Lett. 104, 190405 (2010).PRLTAO0031-900710.1103/PhysRevLett.104.190405], provides a powerful variational ansatz for the ground state of strongly interacting quantum field theories in one spatial dimension. A continuous MPS (cMPS) approximation to the ground state can be obtained by simulating a Euclidean time evolution. In this Letter we propose a cMPS optimization algorithm based instead on energy minimization by gradient methods and demonstrate its performance by applying it to the Lieb-Liniger model (an integrable model of an interacting bosonic field) directly in the thermodynamic limit. We observe a very significant computational speed-up, of more than 2 orders of magnitude, with respect to simulating a Euclidean time evolution. As a result, a much larger cMPS bond dimension D can be reached (e.g., D=256 with moderate computational resources), thus helping unlock the full potential of the cMPS representation for ground state studies.
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USDOE
ISSN:0031-9007
1079-7114
1079-7114
DOI:10.1103/PhysRevLett.118.220402