{
  "id": 12621,
  "url": "https://arxiv.org/abs/2607.19318v1",
  "title": "SoK: Adversarial Robustness of the Variational Quantum Eigensolver via Red-Teaming",
  "summary": "The Variational Quantum Eigensolver (VQE) is a leading algorithm for estimating molecular ground-state energies on near-term quantum hardware, with applications spanning quantum chemistry, materials science, and drug discovery. As VQE workloads are increasingly deployed through cloud-based ``VQE-as-a-service'' pipelines, they become exposed to adversaries such as compromised service components, malicious co-tenants, or insiders in the transpilation stack, any of which can corrupt results before",
  "authors": "Ahmed Azaz Humdoon, Cheng Chu, Lei Jiang, Qian Lou, Mengxin Zheng",
  "category": "research",
  "topics": "safety-alignment,healthcare,biotech",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-21T17:38:52.000Z",
  "fetched_at": "2026-07-22T05:10:49.469Z",
  "source_slug": "x-arxiv-red-teaming-query",
  "source_name": "arXiv red teaming query",
  "source_homepage": "https://arxiv.org/a/redteam",
  "ethics_ai_record_url": "https://ethics.ai/record/12621",
  "original_url": "https://arxiv.org/abs/2607.19318v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}