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Accurate Simulation of the Hubbard Model with Finite Fermionic Projected Entangled Pair States

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arxiv 2502.13454 v2 pith:A4WH7QIL submitted 2025-02-19 cond-mat.str-el cond-mat.supr-conquant-ph

classification cond-mat.str-elcond-mat.supr-conquant-ph
keywords fermionichubbardmodeltimesaccurateentangledfinite-sizepair
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

We demonstrate the use of finite-size fermionic projected entangled pair states, in conjunction with variational Monte Carlo, to perform accurate simulations of the ground-state of the 2D Hubbard model. Using bond dimensions of up to $D=28$, we show that we can surpass state-of-the-art DMRG energies that use up to $m=32000$ SU(2) multiplets on 8-leg ladders. We further apply our methodology to $10\times 16$, $12\times 16$ and $16 \times 16$ lattices at $1/8$ hole doping and observe the dimensional crossover between stripe orientations. Our work shows the power of finite-size fermionic tensor networks to resolve the physics of the 2D Hubbard model and related problems.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Comparing Symmetrized Determinant Neural Quantum States for the Hubbard Model

    cond-mat.str-el 2025-10 conditional novelty 6.0 of 10

    For the doped square-lattice Hubbard model, hidden-fermion and backflow neural quantum states with a Vision Transformer backbone reach nearly equal variational energies; translation-equivariant attention is outperform...

  2. Algorithms for variational Monte Carlo calculations of fermion projected entangled pair states in the swap gates formulation and the detailed balance of tensor network sequential sampling

    cond-mat.str-el 2025-06 reject novelty 4.0 of 10

    The swap-gates fPEPS VMC algorithm is presented with benchmarks, but the proof of detailed balance for sequential sampling is incorrect.

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