Petrica, Gabriel and Zheng, Bo-Xiao and Chan, Garnet Kin-Lic and Clark, Bryan K.
(2020)
*Finite and Infinite Matrix Product States for Gutzwiller Projected Mean-Field Wavefunctions.*
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(Unpublished)
https://resolver.caltech.edu/CaltechAUTHORS:20201027-094309674

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## Abstract

Matrix product states (MPS) and `dressed' ground states of quadratic mean fields (e.g. Gutzwiller projected Slater Determinants) are both important classes of variational wave-functions. This latter class has played important roles in understanding superconductivity and quantum spin-liquids. We present a novel method to obtain both the finite and infinite MPS (iMPS) representation of the ground state of an arbitrary fermionic quadratic mean-field Hamiltonian, (which in the simplest case is a Slater determinant and in the most general case is a Pfaffian). We also show how to represent products of such states (e.g. determinants times Pfaffians). From this representation one can project to single occupancy and evaluate the entanglement spectra after Gutzwiller projection. We then obtain the MPS and iMPS representation of Gutzwiller projected mean-field states that arise from the variational slave-fermion approach to the S=1 Bilinear-Biquadratic (BLBQ) quantum spin chain. To accomplish this, we develop an approach to orthogonalize degenerate iMPS to find all the states in the degenerate ground-state manifold. We find the energies of the MPS and iMPS states match the variational energies closely indicating the method is accurate and there is minimal loss due to truncation error. We then present the first exploration of the entanglement spectra of projected slave-fermion states exploring their qualitative features and finding good qualitative agreement with the respective exact ground state spectra found from DMRG.

Item Type: | Report or Paper (Discussion Paper) | ||||||||||||||
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Additional Information: | BKC acknowledges support from the Department of Energy grant DOE de-sc0020165. This project is part of the Blue Waters sustained petascale computing project, which is supported by the National Science Foundation (awards OCI-0725070 and ACI-1238993) and the State of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications. GKC was supported by the US National Science Foundation via grant no. 1839204. GKC also acknowledges support from the Simons Foundation via the Investigator Award and the Many-Electron Collaboration. | ||||||||||||||

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Record Number: | CaltechAUTHORS:20201027-094309674 | ||||||||||||||

Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20201027-094309674 | ||||||||||||||

Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||||||||||

ID Code: | 106297 | ||||||||||||||

Collection: | CaltechAUTHORS | ||||||||||||||

Deposited By: | Tony Diaz | ||||||||||||||

Deposited On: | 27 Oct 2020 16:57 | ||||||||||||||

Last Modified: | 27 Oct 2020 16:57 |

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