Efficient Tensor Network Ansatz for High-Dimensional Quantum Many-Body Problems

Timo Felser, Simone Notarnicola, and Simone Montangero
Phys. Rev. Lett. 126, 170603 – Published 29 April 2021
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Abstract

We introduce a novel tensor network structure augmenting the well-established tree tensor network representation of a quantum many-body wave function. The new structure satisfies the area law in high dimensions remaining efficiently manipulatable and scalable. We benchmark this novel approach against paradigmatic two-dimensional spin models demonstrating unprecedented precision and system sizes. Finally, we compute the ground state phase diagram of two-dimensional lattice Rydberg atoms in optical tweezers observing nontrivial phases and quantum phase transitions, providing realistic benchmarks for current and future two-dimensional quantum simulations.

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  • Received 26 November 2020
  • Accepted 25 February 2021

DOI:https://doi.org/10.1103/PhysRevLett.126.170603

© 2021 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & TechnologyStatistical Physics & ThermodynamicsAtomic, Molecular & Optical

Authors & Affiliations

Timo Felser1,2,3, Simone Notarnicola2,3,4, and Simone Montangero2,3,4

  • 1Theoretische Physik, Universität des Saarlandes, D-66123 Saarbrücken, Germany
  • 2Dipartimento di Fisica e Astronomia “G. Galilei”, Università di Padova, I-35131 Padova, Italy
  • 3INFN, Sezione di Padova, Via Marzolo 8, I-35131 Padova, Italy
  • 4Padua Quantum Technology Research Center, Università di Padova, I-35131 Padova, Italy

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Issue

Vol. 126, Iss. 17 — 30 April 2021

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