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Holographic Simulation of Correlated Electrons on a Trapped-Ion Quantum Processor

Niu, Daoheng and Haghshenas, Reza and Zhang, Yuxuan and Foss-Feig, Michael and Chan, Garnet Kin-Lic and Potter, Andrew C. (2022) Holographic Simulation of Correlated Electrons on a Trapped-Ion Quantum Processor. PRX Quantum, 3 (3). Art. No. 030317. ISSN 2691-3399. doi:10.1103/prxquantum.3.030317. https://resolver.caltech.edu/CaltechAUTHORS:20220802-931437000

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Abstract

We develop holographic quantum simulation techniques to prepare correlated electronic ground states in quantum matrix-product-state (QMPS) form, using far fewer qubits than the number of orbitals represented. Our approach starts with a holographic technique to prepare a compressed approximation to electronic mean-field ground states, known as fermionic Gaussian matrix-product states (GMPSs), with a polynomial reduction in qubit and (in select cases gate) resources compared to existing techniques. Correlations are then introduced by augmenting the GMPS circuits in a variational technique, which we denote GMPS+X. We demonstrate this approach on Quantinuum’s System Model H1 trapped-ion quantum processor for one-dimensional (1D) models of correlated metal and Mott-insulating states. Focusing on the 1D Fermi-Hubbard chain as a benchmark, we show that GMPS+X methods faithfully capture the physics of correlated electron states, including Mott insulators and correlated Luttinger liquid metals, using considerably fewer parameters than problem-agnostic variational circuits.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1103/PRXQuantum.3.030317DOIArticle
https://arxiv.org/abs/2112.10810arXivDiscussion Paper
ORCID:
AuthorORCID
Niu, Daoheng0000-0003-1097-184X
Haghshenas, Reza0000-0002-5593-8915
Zhang, Yuxuan0000-0001-5477-8924
Chan, Garnet Kin-Lic0000-0001-8009-6038
Additional Information:Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI. (Received 10 February 2022; revised 10 June 2022; accepted 5 July 2022; published 2 August 2022) We thank Itamar Kimchi, Roger Mong, and Michael Zaletel for insightful conversations. We acknowledge support from NSF Award No. DMR-2038032 (Y.Z., A.P.), NSF-Converence Accelerator Track C award DMR- (D.N., G.K.C.), from the Alfred P. Sloan Foundation through a Sloan Research Fellowship (A.P.). R.H. was supported by the U.S. Department of Energy, Office of Science, via Award No. DE-SC0019374. Additional support for G.K.C. was provided by the Simons Collaboration on the Many-electron Problem and the Simons Investigatorship. This research was undertaken thanks, in part, to funding from the Max Planck-UBC-UTokyo Center for Quantum Materials and the Canada First Research Excellence Fund, Quantum Materials and Future Technologies Program. Numerical calculations were performed using supercomputing resources at the Texas Advanced Computing Center (TACC).
Funders:
Funding AgencyGrant Number
NSFDMR-2038032
Alfred P. Sloan FoundationUNSPECIFIED
Department of Energy (DOE)DE-SC0019374
Simons FoundationUNSPECIFIED
Max Planck-UBC-UTokyo Center for Quantum MaterialsUNSPECIFIED
Canada First Research Excellence FundUNSPECIFIED
Issue or Number:3
DOI:10.1103/prxquantum.3.030317
Record Number:CaltechAUTHORS:20220802-931437000
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20220802-931437000
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:116042
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:03 Aug 2022 14:48
Last Modified:03 Aug 2022 14:48

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