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https://github.com/saymrwulf/autoresearch-quantum.git
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saymrwulf
f9b8f3457f
Karpathy-style autoresearch engine for encoded magic-state preparation on the [[4,2,2]] quantum error-detecting code using Qiskit Aer simulation. Five-rung progressive search: baseline -> stability -> transfer -> factory -> Rosenfeld. Smart challenger generation (neighbor walk + random combo + lesson-guided). Machine-readable lesson feedback with per-dimension effects, interaction detection, and cross-rung propagation. Factory throughput scoring. Resumable execution. 21 tests, all passing.
73 lines
1.8 KiB
YAML
73 lines
1.8 KiB
YAML
rung: 2
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name: "Backend-Aware Stability Rung"
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description: "Same [[4,2,2]] task, but with repeated cheap-tier runs, backend variation, and stronger stability pressure."
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objective: "Favor experiment settings that hold score under calibration-like backend changes and repeated noisy evaluation."
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bootstrap_incumbent:
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seed_style: h_p
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encoder_style: cx_chain
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verification: both
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postselection: all_measured
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ancilla_strategy: dedicated_pair
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optimization_level: 3
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layout_method: sabre
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routing_method: sabre
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approximation_degree: 1.0
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target_backend: fake_kyoto
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noise_backend: fake_kyoto
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shots: 768
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repeats: 3
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notes: "Stability-focused bootstrap incumbent."
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search_space:
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max_challengers_per_step: 8
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dimensions:
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target_backend: [fake_kyoto, fake_brisbane, fake_sherbrooke]
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noise_backend: [fake_kyoto, fake_brisbane, fake_sherbrooke]
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verification: [both, z_only]
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postselection: [all_measured, z_only]
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optimization_level: [1, 2, 3]
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layout_method: [sabre, dense]
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routing_method: [sabre, basic]
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tier_policy:
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cheap_margin: 0.001
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confirmation_margin: 0.0
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cheap_shots: 768
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expensive_shots: 1536
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cheap_repeats: 3
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expensive_repeats: 1
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promote_top_k: 2
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enable_hardware: false
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confirm_incumbent_on_hardware: true
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hardware_budget: 1
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score:
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name: weighted_acceptance_cost
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base_cost: 1.0
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cheap_quality:
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noisy_fidelity: 0.30
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logical_witness: 0.25
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codespace_rate: 0.20
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stability_score: 0.20
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spectator_alignment: 0.05
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expensive_quality:
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logical_witness: 0.45
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codespace_rate: 0.15
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stability_score: 0.30
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spectator_alignment: 0.10
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cost_weights:
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two_qubit_count: 0.06
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depth: 0.01
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shot_count: 0.00025
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runtime_estimate: 0.02
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queue_cost_proxy: 0.35
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step_budget: 3
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patience: 2
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hardware:
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backend_name:
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channel:
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instance:
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token_env_var: QISKIT_IBM_TOKEN
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