{
  "abstract": "We present the first variational Monte Carlo study of nuclear and hypernuclear excited states within the neural-network quantum states (NQS) framework. We implement both the overlap penalty (OP) and natural excited state (NES) methods to compute low-lying excitation spectra. To address the spin contamination in hypernuclear calculations, we propose a quantum number targeting (QNT) technique for the OP method. Both the OP-QNT and NES methods can reproduce diagonal observables, such as energies and spatial structures, in excellent agreement with rigorous benchmarks. We further provide, to our knowledge, the first \\textit{ab initio} calculation of the $M1$ transition strength for $^{4}_Λ\\mathrm{H}$. The calculated transition strength is consistent with the weak-coupling limit, exhibiting a $\\sim$1.3\\% suppression. This work demonstrates that NQS can be elevated from ground-state solvers to practical tools for nuclear and hypernuclear spectroscopy.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": "Journal reference: Physics Letters B 881 (2026) 140911",
  "arxiv": "2605.30944",
  "author_total": 7,
  "authors": [
    {
      "name": "Zi-Xiao Zhang"
    },
    {
      "name": "Yi-Long Yang"
    },
    {
      "name": "Xiao-Lu Qian"
    },
    {
      "name": "Wan-Bing He"
    },
    {
      "name": "Peng-Wei Zhao"
    },
    {
      "name": "Bing-Nan Lu"
    },
    {
      "name": "Yu-Gang Ma"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/5k7gbwm078ps8.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2605.30944",
  "fulltext_url": null,
  "id": "5k7gbwm078ps8",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2605.30944",
  "language": null,
  "licence": "LicenseRef-arXiv-nonexclusive-1.0",
  "licence_label": "arXiv licence",
  "licence_source": "article",
  "licence_url": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "nucl-th"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://arxiv.org/pdf/2605.30944",
  "pmcid": null,
  "pmid": null,
  "published": "2026-05-29",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/5k7gbwm078ps8.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:19:14Z",
      "native_id": "2605.30944",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2605.30944"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:nucl-th",
      "subfield": "nuclear"
    }
  ],
  "title": "Neural-network excited states of $A=4$ nuclei and hypernuclei",
  "title_text": "Neural-network excited states of A=4 nuclei and hypernuclei",
  "type": "preprint",
  "updated_at": "2026-10-30T12:19:14Z",
  "url": "https://research.draconitic.com/paper/5k7gbwm078ps8",
  "venue": "arXiv",
  "versions": [
    {
      "doi": "10.1016/j.physletb.2026.140911",
      "pid": null,
      "relation": "published-as",
      "title": null,
      "venue": null
    }
  ]
}