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Optimization schemes for unitary tensor-network circuit

Haghshenas, Reza (2020) Optimization schemes for unitary tensor-network circuit. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20200928-121032434

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Abstract

We discuss the variational optimization of a unitary tensor-network circuit with different network structures. The ansatz is performed based on a generalization of well-developed multi-scale entanglement renormalization algorithm and also the conjugate-gradient method with an effective line search. We present the benchmarking calculations for different network structures by studying the Heisenberg model in a strongly disordered magnetic field and a tensor-network QR-decomposition.


Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription
http://arxiv.org/abs/2009.02606arXivDiscussion Paper
ORCID:
AuthorORCID
Haghshenas, Reza0000-0002-5593-8915
Additional Information:This work was supported by the US National Science Foundation (NSF) via grant CHE-1665333. We have used library Uni10 to perform tensor-network ansatz. We thank F. Pollmann for the initial ideas of this work and also thank D. N. Sheng, A. Langari, A. T. Rezakhani and G. K. Chan for helpful discussions. We appreciate F. Pollmann and P. Helms for useful comments and reading the manuscript.
Funders:
Funding AgencyGrant Number
NSFCHE-1665333
Record Number:CaltechAUTHORS:20200928-121032434
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20200928-121032434
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:105583
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:28 Sep 2020 19:46
Last Modified:28 Sep 2020 19:46

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