{
  "abstract": "The variational quantum eigensolver (VQE) remains a cornerstone hybrid quantum-classical algorithm for quantum simulation, yet its scalability is fundamentally constrained by heavy measurement overheads. While strategies such as variance-preserved shot reduction (VPSR) mitigates this cost, they suffer from convergence instability and optimization stagnation caused by finite-sample bias in limited pilot shots. To overcome this limitation, we introduce delta-corrected shot reduction (DCSR), an analytically enhanced shot allocation strategy that rigorously mitigates finite-sample instability. Utilizing the multivariate delta method, we derive explicit higher-order bias correction terms for the empirical reduction factor. Both theoretical analysis and numerical simulations reveal that incorporating higher-order statistical moments, such as skewness and kurtosis, provides the gradient resolution necessary to bypass noise-induced barren plateaus. DSCR significantly accelerates convergence compared to standard VPSR across diverse noise and resource regimes while matching or decreasing cumulative measurement costs, establishing a mathematically rigorous framework for variance-stabilized shot allocation on near-term hardware.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2611.10524",
  "author_total": 5,
  "authors": [
    {
      "name": "Jamie Evander Ghozaly"
    },
    {
      "name": "Pekik Nurwantoro"
    },
    {
      "name": "Gagus Ketut Sunnardianto"
    },
    {
      "name": "Yanoar P. Sarwono"
    },
    {
      "name": "Leong-Chuan Kwek"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/a4qj6pb1cgb94.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2611.10524",
  "fulltext_url": null,
  "id": "a4qj6pb1cgb94",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2611.10524",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "physics.chem-ph"
    ],
    [
      "arxiv",
      "quant-ph"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://arxiv.org/pdf/2611.10524",
  "pmcid": null,
  "pmid": null,
  "published": "2026-11-07",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/a4qj6pb1cgb94.ris",
  "sources": [
    {
      "first_seen": "2026-11-10T06:21:23Z",
      "native_id": "2611.10524",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2611.10524"
    }
  ],
  "subjects": [
    {
      "field": "chemistry",
      "origin": "arxiv:physics.chem-ph",
      "subfield": "physical"
    },
    {
      "field": "physics",
      "origin": "arxiv:quant-ph",
      "subfield": "quantum"
    }
  ],
  "title": "Delta-Corrected Shot Reduction for Bypassing Optimization Plateaus in Variational Quantum Eigensolvers",
  "title_text": "Delta-Corrected Shot Reduction for Bypassing Optimization Plateaus in Variational Quantum Eigensolvers",
  "type": "preprint",
  "updated_at": "2026-11-10T06:21:23Z",
  "url": "https://research.draconitic.com/paper/a4qj6pb1cgb94",
  "venue": "arXiv",
  "versions": []
}