{
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  "params": {
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  "instance_id": "J1J2/square_100_P_0.6",
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      "reference": "[code](https://github.com/varbench/methods/blob/main/scripts/J1J2/square_100_P_0.6/dmrg.sh)",
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      "reference": "[code](https://github.com/varbench/methods/blob/main/scripts/J1J2/square_100_P_0.6/vmc_rbm.sh)",
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      "reference": "[code](https://github.com/varbench/methods/blob/main/scripts/J1J2/square_100_P_0.6/vmc_jastrow.sh)",
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      "bound_type": "variational",
      "bound_type_reason": "variational ansatz, or a Lanczos improvement of one (RULES.md 4)",
      "reference": "Chen, Hendry, Weinberg & Feiguin, Systematic improvement of neural network quantum states using a Lanczos recursion, arXiv:2206.14307 (2022)",
      "peer_reviewed": false,
      "source": "sweep-pdf-2026-09-14",
      "provenance": "primary",
      "verified": {
        "checked_on": "2026-09-14",
        "method": "arXiv PDF text extracted locally with pypdf, no LLM transcription",
        "reported_as": "-0.47662 (+/- 0.00003) per site in S.S units",
        "note": "Read from Table 5 of arXiv:2206.14307 (J1-J2 on 6x6 and 10x10 square lattices, PBC, E/N in S.S units), extracted from the PDF with pypdf.",
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      "reference": "Choo, Neupert & Carleo, Two-dimensional frustrated J1-J2 model studied with neural network quantum states, Phys. Rev. B 100, 125124 (2019)",
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        "note": "Read from Table 5 of arXiv:2206.14307 (J1-J2 on 6x6 and 10x10 square lattices, PBC, E/N in S.S units), extracted from the PDF with pypdf.",
        "secondary_of": "Chen, Hendry, Weinberg & Feiguin, Systematic improvement of neural network quantum states using a Lanczos recursion, arXiv:2206.14307 (2022)"
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  "url": "https://qmbl.org/i/J1J2/square_100_P_0.6/",
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}