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Observational Indistinguishability and Integrity Blind Regions in Hybrid Quantum-Classical Workflows

arXiv cs.CRby Roberto Fernández-Barrios ()1 min read3
AI summary · glm-5.3Summaries by Vani AI

Framework formalizes integrity blind regions in hybrid quantum-classical workflows, validated across 3,600 label interventions with conformal detection rules.

The paper presents a claim-relative evidence and reference framework for integrity of hybrid quantum-classical workflows, distinguishing structural blind regions caused by observational indistinguishability from finite-batch statistical misses. Experiments over 3,600 label interventions show exact label-path invariance for feature and prediction views. The geometry-aligned construction detects 343 of 2,700 conclusion-changing interventions using the conformal rule and 1,183 of 2,700 with the uncorrected union, with executed conformal clean false-action rates of 0.048-0.059.

Key facts
  • Defines integrity blind regions from observational indistinguishability in quantum-classical workflows
  • Trusted same-batch scalar guarantees conclusion integrity within the declared lattice
  • 3,600 label interventions quantify detection of conclusion-changing manipulations
  • Conformal rule detects 343/2,700 interventions at 0.048-0.059 false-action rate
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From the original article

1 min read at arxiv.org

We present a claim-relative evidence/reference framework for hybrid quantum-classical workflow integrity. Observational indistinguishability yields structural blind regions, distinct from finite-batch statistical misses. Within the declared lattice, a trusted same-batch scalar $R_0$ suffices for conclusion integrity, aggregate $M_0$ for aggregate plus conclusion integrity, and item-aligned binding for item identity.

arXiv cs.CR

By Roberto Fernández-Barrios · arxiv.org

Read the full article at arXiv cs.CR

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