VQE Regularization Evaluation Pipeline

Zone: Exploration
Tier: T1
AI: A1
Type: analysis
Date: 2025-01-01

Tier validation warnings

  • •T1 requirement: reproducibility.deterministic_seed must be true
  • •AI audit missing for A1+ artifact (ai_audit not provided)

Summary

Computational pipeline for evaluating regularization effects in variational quantum eigensolvers, including parameter sweeps and optimization landscape analysis.

Claims

  • —Regularization applied to VQE parameter updates measurably affects convergence behavior across tested Hamiltonians.
  • —Parameter sweep results indicate that regularization strength is a significant hyperparameter in HOPSO-driven VQE.

Assumptions

  • —Regularization schemes from classical machine learning apply meaningfully in the VQE optimization context.
  • —Results on small test systems are indicative of behavior at larger scales — not yet validated.
  • —Noise models used are representative of realistic near-term hardware — not independently verified.

Links

Reproducibility

Deterministic seed: no

Replication status: none

Structural Metrics

Rigor Score 1 / 8structural transparency index

Tier base (T1)1Deterministic seed—Environment hash—Independent replication—

Tier T1 compliance 1 / 3(33% of declared tier requirements met)

✓ Claims documented (at least one)

✗ Deterministic seed documented

✗ AI audit missing/incomplete

▶Computed classification recommendationmismatch
DimensionDeclaredRecommendedReasons
ZoneExplorationHypothesis

• Claims present but no deterministic seed or replication

• Artifact appears to be a conceptual or theoretical claim without computational backing

TierT1T0

• No deterministic seed — results cannot be reproduced deterministically

• T1 requires a fixed random seed

AI LevelA1A0

• No AI model disclosed — assuming no AI used (A0)

Recommendations are heuristic — based on reproducibility fields and object type.