**Overall Verdict:** Strong Accept — Complete, internally consistent quantum-control task with safe, reachable inputs and objective evaluation.

**Completeness Check:**
- Instruction: Complete — Defines outputs, constraints, mathematical model, and success criteria.
- Inputs: Complete — Twelve finite 8x8-matrix scenarios have consistent schema and identifiers.
- Toolchain: Complete — Uses a standard Python evaluator; NumPy/SciPy are optional solver aids.
- Reference output: Complete — Contains a structurally valid 12-scenario reference, reported perfect score, independent metrics, and matching input hashes.
- Rubric: Complete — Enforces all control constraints, gate fidelity, leakage, and first-/second-order noise cancellation.

**File and Task Reachability:**
Attachment classification: reachable. Task classification: reachable. Inspected `input_materials.zip` (`TASK.md`, `calculus.md`, `scenarios.json`, `check.py`), `reference_and_evaluation.zip` (reference answers/notes, score and hash records, duplicated inputs, generator/verifier source, and independent check), and `difficulty_evidence.zip` (README plus all five audit summaries and answer files). All archives were readable, unencrypted, safe relative-path containers with valid JSON/text members; no content was unreviewed. Static inspection confirmed the evaluator copies match the solver-visible inputs byte-for-byte and the solver path is inputs -> `answers.json` -> deterministic checker. Programs were not executed under the evidence-safety rule. License keys, accounts, tokens, and other credentials are not required from the contributor. Confidential, proprietary, or internal material may be evaluated as submitted evidence without requiring additional disclosure.

**Special Screening:**
None

**Recommended Changes:**
The submission provides a coherent constrained-control problem, evaluator-only reference separation, and meaningful difficulty evidence. No changes are required.