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arXiv preprint arXiv:2311.02143 (2023) arXiv:2311.02143 [cond-mat.str-el]

3 Pith papers cite this work. Polarity classification is still indexing.

3 Pith papers citing it

years

2026 2 2025 1

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UNVERDICTED 3

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QERNEL: a Scalable Large Electron Model

cond-mat.str-el · 2026-04-28 · unverdicted · novelty 6.0

QERNEL is a single conditioned neural wavefunction that variationally solves families of many-electron Hamiltonians in moiré heterobilayers and identifies the quantum liquid-crystal phase transition.

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Showing 3 of 3 citing papers.

  • Low-variance estimators overcome the phase-gradient bottleneck in complex-valued neural quantum states cond-mat.dis-nn · 2026-06-11 · unverdicted · none · ref 19

    Direct differentiation of the local energy at fixed samples yields an unbiased low-variance estimator for the variational Monte Carlo phase force in complex neural quantum states, with an adaptive mixture extending it to coupled networks and improving results on flux ladders, chiral chains, and frac

  • QERNEL: a Scalable Large Electron Model cond-mat.str-el · 2026-04-28 · unverdicted · none · ref 7

    QERNEL is a single conditioned neural wavefunction that variationally solves families of many-electron Hamiltonians in moiré heterobilayers and identifies the quantum liquid-crystal phase transition.

  • Attention is all you need to solve chiral superconductivity cond-mat.supr-con · 2025-09-03 · unverdicted · none · ref 23

    A general-purpose self-attention Fermi neural network finds chiral p_x ± ip_y superconductivity in an attractive Fermi gas via unbiased energy minimization.