HOPSO — VQE Optimizer Implementation

Zone: Exploration
Tier: T1
AI: A0
Type: code
Date: 2025-01-01

Tier validation warnings

  • •T1 requirement: reproducibility.deterministic_seed must be true

Summary

Reference implementation of the HOPSO classical optimizer adapted for use in variational quantum eigensolver (VQE) workflows.

Claims

  • —HOPSO can serve as a drop-in classical optimizer within standard VQE frameworks.
  • —The implementation produces results consistent with those reported in the associated arXiv paper.

Assumptions

  • —VQE circuit parameterization is compatible with HOPSO's expected optimizer interface.
  • —Results are preliminary and depend on problem-specific hyperparameter tuning.
  • —Performance comparisons are relative to a limited baseline set.

Links

Reproducibility

Deterministic seed: no

Replication status: internal

Structural Metrics

Rigor Score 1 / 8structural transparency index

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

Tier T1 compliance 1 / 2(50% of declared tier requirements met)

✓ Claims documented (at least one)

✗ Deterministic seed documented

▶Computed classification recommendationmismatch
DimensionDeclaredRecommendedReasons
ZoneExplorationExploration ✓

• No strong signals for other zones — defaulting to Exploration

TierT1T0

• No deterministic seed — results cannot be reproduced deterministically

• T1 requires a fixed random seed

AI LevelA0A0 ✓

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

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