Tropical Tensor Network for Ground States of Spin Glasses

Jin-Guo Liu, Lei Wang, and Pan Zhang
Phys. Rev. Lett. 126, 090506 – Published 5 March 2021
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Abstract

We present a unified exact tensor network approach to compute the ground state energy, identify the optimal configuration, and count the number of solutions for spin glasses. The method is based on tensor networks with the tropical algebra defined on the semiring of (R{},,). Contracting the tropical tensor network gives the ground state energy; differentiating through the tensor network contraction gives the ground state configuration; mixing the tropical algebra and the ordinary algebra counts the ground state degeneracy. The approach brings together the concepts from graphical models, tensor networks, differentiable programming, and quantum circuit simulation, and easily utilizes the computational power of graphical processing units (GPUs). For applications, we compute the exact ground state energy of Ising spin glasses on square lattice up to 1024 spins, on cubic lattice up to 216 spins, and on three regular random graphs up to 220 spins, on a single GPU; we obtain exact ground state energy of ±J Ising spin glass on the chimera graph of D-Wave quantum annealer of 512 qubits in less than 100 s and investigate the exact value of the residual entropy of ±J spin glasses on the chimera graph; finally, we investigate ground-state energy and entropy of three-state Potts glasses on square lattices up to size 18×18. Our approach provides baselines and benchmarks for exact algorithms for spin glasses and combinatorial optimization problems, and for evaluating heuristic algorithms and mean-field theories.

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  • Received 30 August 2020
  • Revised 7 December 2020
  • Accepted 26 January 2021

DOI:https://doi.org/10.1103/PhysRevLett.126.090506

© 2021 American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics & ThermodynamicsQuantum Information, Science & Technology

Authors & Affiliations

Jin-Guo Liu1,2,3,*, Lei Wang1,4,†, and Pan Zhang5,6,7,‡

  • 1Beijing National Lab for Condensed Matter Physics and Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
  • 2Harvard University, Cambridge, Massachusetts 02138, USA
  • 3QuEra Computing Inc., Boston, Massachusetts 02143, USA
  • 4Songshan Lake Materials Laboratory, Dongguan, Guangdong 523808, China
  • 5CAS Key Laboratory for Theoretical Physics, Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing 100190, China
  • 6School of Fundamental Physics and Mathematical Sciences, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China
  • 7International Centre for Theoretical Physics Asia-Pacific, Beijing/Hangzhou, China

  • *cacate0129@gmail.com
  • wanglei@iphy.ac.cn
  • panzhang@itp.ac.cn

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Issue

Vol. 126, Iss. 9 — 5 March 2021

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