{
  "abstract": "Behavioural randomized controlled trials (RCTs) are the empirical workhorse of behavioural science, yet quantum computing has reached the field only through opinion-dynamics demonstrations and decision-theory formalism, leaving the RCT analysis pipeline unexamined. I ask, stage by stage, where quantum or quantum-like computation earns its place against a strong classical baseline, and report three controlled simulation pilots across the pipeline. In a power-calculation pilot anchored on a 97-outcome preprocessing multiverse of real behavioural RCTs, quantum amplitude estimation recovers enumerated multiverse-significance fractions with absolute error 20-30 times smaller than classical sampled Monte Carlo at matched query budgets on the two non-degenerate outcomes, conditional on efficient state preparation. In an interference pilot, an entanglement-structured estimator recovers a four-way spillover that a pairwise model cannot represent at any sample size. In an adaptation pilot, a quantum-inspired contextual bandit is decisively beaten by a correctly specified classical baseline. The three results - one conditional win, one representational win, one honest loss - yield a decision rule for when quantum methods are worth adopting, piloting, or deferring, together with a five-gap research agenda.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.21269",
  "author_total": 1,
  "authors": [
    {
      "name": "Giuseppe Alessandro Veltri"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/30ng3astkamyf.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.21269",
  "fulltext_url": null,
  "id": "30ng3astkamyf",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.21269",
  "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",
      "stat.ME"
    ],
    [
      "openalex",
      "1702|Quantum Computing Algorithms and Architecture"
    ]
  ],
  "openalex": "W7213864995",
  "pdf_url": "https://arxiv.org/pdf/2609.21269",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-18",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/30ng3astkamyf.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:23:12Z",
      "native_id": "2609.21269",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.21269"
    }
  ],
  "subjects": [
    {
      "field": "mathematics",
      "origin": "arxiv:stat.ME",
      "subfield": "statistics"
    }
  ],
  "title": "Where quantum and quantum-like methods earn their place in behavioural-trial analysis: three simulation pilots across the RCT pipeline",
  "title_text": "Where quantum and quantum-like methods earn their place in behavioural-trial analysis: three simulation pilots across the RCT pipeline",
  "type": "preprint",
  "updated_at": "2026-10-30T12:23:12Z",
  "url": "https://research.draconitic.com/paper/30ng3astkamyf",
  "venue": "arXiv",
  "versions": []
}