{"claim":{"id":"1853afc2-b5dd-4c0e-b6bd-3239062fb358","submission_id":"c314ba4b-6700-4f5f-8f6b-0faa1f0be381","submission_revision_id":"00f80d04-2bdf-451c-97c3-99813118f8ff","builder":"builder-01","status":"active","claimed_at":"2026-10-15T15:28:19.312019Z","delivered_at":null,"ended_at":null,"delivery_note":null,"end_reason":null},"task":{"submission_id":"c314ba4b-6700-4f5f-8f6b-0faa1f0be381","submission_revision_id":"00f80d04-2bdf-451c-97c3-99813118f8ff","revision_version":2,"submission_status":"under_review","submitted_at":"2026-09-17T04:25:43.647847Z","submitter_name":"RAJ DIPESHBHAI PAREKH","submitter_email":"rajparekh144@gmail.com","task":{"status":"submitted","version":2,"extra_fields":{"difficulty_self_test":{"model":"GPT-5.6-Sol, high reasoning","harness":"Codex CLI","estimated_score":"<1%"}},"submitted_at":"2026-09-17T04:25:43.647847+00:00","industry_domain":"Quantum Computing / Quantum Control (Physics)","task_short_name":"frustrated_spin_triangle_yang_baxter_holonomy","operating_system":"Linux, MacOS","task_description":"Objective: Design constrained quantum-control pulse schedules for twelve\nfrustrated three-spin devices. Each schedule must implement a supplied target\nthree-qubit gate while cancelling bond-resolved leakage and the specified\nfirst- and second-order static-noise coefficients.\n\nStarting State: You are given a Linux environment with Python, NumPy and SciPy,\nand four input files: TASK.md (task and output schema), calculus.md (complete\nmathematical model), scenarios.json (twelve sets of laboratory-frame 8 x 8\nHamiltonians and target unitaries), and check.py (a standalone forward verifier).\nThe local-frame calibrations and pulse schedules are not supplied.\n\nInstructions & Rules: Infer any required local calibration from the supplied\noperators. For each scenario S1 through S12, select one U3 calibration per spin,\nthree shared bond-amplitude magnitudes, and 2 to 96 pulse segments. Every pulse\nhas duration 0.25 and selects I, X, Y or Z after each spin's shared calibration.\nDrive at most one exchange bond at a time. Each drive must be zero or the positive\nor negative shared magnitude for that bond, with magnitude at most 0.25. Each\nbond must receive total absolute exchange action of at least 0.05. Meet the\ntarget-gate and cancellation tolerances of 1e-8 under the supplied model.\n\nWork offline using only the provided inputs and preinstalled tools. Do not\nmodify input files. Write the twelve schedules to output/answers.json and your\nmethod, assumptions and verification results to output/NOTES.md. Run\n`python3 input/check.py --answers output/answers.json` to verify your submission.\nAllow 3600 seconds of solver time. Any schedule satisfying the physical and\ncontrol constraints is accepted; it need not match the author's construction.\n\nThe noise model uses the idealized frame-level functionals specified in\ncalculus.md. This is one designed quantum-control physics task with twelve\nscenarios, not twelve separate tasks.","software_licensing":"Free/Open Source","evaluation_criteria":null,"verification_method":"Use the trusted Python verifier and canonical scenario data, not a solver-edited\ncopy. Parse output/answers.json and evaluate S1 through S12 independently.\nReject missing or malformed answers and invalid control parameters. Require\nfinite calibration angles within [-1e6, 1e6], 2 to 96 pulses, valid integer Pauli\nframe codes, fixed duration 0.25, at most one active bond per pulse, shared\namplitude magnitudes in [0, 0.25], and minimum absolute action 0.05 on each bond.\n\nFor each valid schedule, compute the ordered product of its 8 x 8 propagators\nusing the supplied laboratory Hamiltonians and calibrated frames. Require:\n\n1. Absolute gate infidelity |1 - |Tr(U_target^dagger U_total)|^2 / 64| <= 1e-8.\n2. Each of the three integrated bond-leakage Frobenius norms <= 1e-8.\n3. Each of the ten first-order noise-coefficient Frobenius norms <= 1e-8.\n4. Each of the 55 second-order coefficient Frobenius norms, including all mixed\n   noise-channel terms, <= 1e-8.\n\nA scenario scores 1 only if every constraint and criterion passes; otherwise, 0.\nThe primary task score is the number of passing scenarios divided by 12. Perfect\nsuccess requires 12/12 and scores 1.0. Accept any valid solution; do not compare\npulse sequences or JSON text for equality with the reference. NOTES.md records\nthe method but is not a subjective scoring criterion.\n\nReport the separate weighted diagnostic (gate 0.80, leakage 0.08, first order\n0.06, second order 0.06) without treating it as the primary benchmark score.\nDistinguish infrastructure/evaluator errors from a genuine solver failure.","software_and_version":"Python 3.12.3; NumPy 1.26.4; SciPy 1.11.4 on Ubuntu 24.04 LTS. The fixture generator and deterministic evaluator use only the Python standard library. NumPy and SciPy are optional solver tools, preinstalled in the self-test. ALE integration uses Python 3.12, cua-bench 0.2.7 and openenv-core 0.3.0.","specific_requirements":null,"expected_completion_time":null},"files":[{"file_id":"d700fbd3-efab-4261-ad9f-8192efeeb4aa","filename":"input_materials.zip","category":"input_materials","content_type":"application/zip","size_bytes":73830},{"file_id":"2a2a47cd-b930-4da4-80d3-b7ad30e03b6f","filename":"reference_and_evaluation.zip","category":"reference_output","content_type":"application/zip","size_bytes":93569},{"file_id":"d473891b-3761-49a5-85d4-878510aa08b7","filename":"difficulty_evidence.zip","category":"difficulty_self_test_evidence","content_type":"application/zip","size_bytes":33515}],"deep_review":{"overall_verdict":"Strong Accept","review_text":"**Overall Verdict:** Strong Accept — Complete, internally consistent quantum-control task with safe, reachable inputs and objective evaluation.\n\n**Completeness Check:**\n- Instruction: Complete — Defines outputs, constraints, mathematical model, and success criteria.\n- Inputs: Complete — Twelve finite 8x8-matrix scenarios have consistent schema and identifiers.\n- Toolchain: Complete — Uses a standard Python evaluator; NumPy/SciPy are optional solver aids.\n- Reference output: Complete — Contains a structurally valid 12-scenario reference, reported perfect score, independent metrics, and matching input hashes.\n- Rubric: Complete — Enforces all control constraints, gate fidelity, leakage, and first-/second-order noise cancellation.\n\n**File and Task Reachability:**\nAttachment 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.\n\n**Special Screening:**\nNone\n\n**Recommended Changes:**\nThe submission provides a coherent constrained-control problem, evaluator-only reference separation, and meaningful difficulty evidence. No changes are required.","reviewed_at":"2026-09-17T14:47:37.484003Z"},"claim":{"id":"1853afc2-b5dd-4c0e-b6bd-3239062fb358","submission_id":"c314ba4b-6700-4f5f-8f6b-0faa1f0be381","submission_revision_id":"00f80d04-2bdf-451c-97c3-99813118f8ff","builder":"builder-01","status":"active","claimed_at":"2026-10-15T15:28:19.312019Z","delivered_at":null,"ended_at":null,"delivery_note":null,"end_reason":null}},"revision_is_current":true}