{
  "id": 18500904,
  "title": "QUANTA: A quantum annealing framework for species tree estimation using weighted quartet amalgamation",
  "url": "https://urgent.news/2026/11/06/quanta-a-quantum-annealing-framework-for-species-tree-estimation",
  "topic": "science",
  "section": "Science",
  "published": "2026-11-06T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.11.05.764558v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Reconstructing species trees from genome-scale data is challenging due to pervasive gene tree discordance. Maximizing quartet consistency is a widely used approach for species tree inference from multi-locus data. Quartet amalgamation approaches, such as Quartet Fiduccia-Mattheyse (QFM) and Quartet MaxCut (QMC) families, have emerged as highly accurate quartet-based species tree inference…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}