Quantum-enhanced ARC-AGI task solver using Grover amplitude amplification for O(√N) rule discovery — solving abstract reasoning tasks exponentially faster than classical brute-force.
AeonmicArcSolver encodes ARC-AGI input/output grids into quantum superposition states, then applies Grover's algorithm to amplify the transformation rules that satisfy all training pairs — delivering a verified rule program in √N iterations instead of N.
wave() primitives.$ aeonmi run arc_solver.ai --task task_001 --mode grover ⟨ψ⟩ AeonmicArcSolver v0.5.0-alpha ────────────────────────────────────────────── loading task_001 (3 training pairs, 1 test) encoding grid → 8 qubits (4×4 grid, 5 colors) oracle building transformation oracle… oracle_ok marked states: 3 of 256 candidates grover iterations: √256 = 16 (classical: 256) grover round 1/16 amplitude_max: 0.0625 grover round 8/16 amplitude_max: 0.3847 grover round 16/16 amplitude_max: 0.9921 measure collapsed to rule_id: 0b10110011 verify pair_1: ✓ pair_2: ✓ pair_3: ✓ apply rule → test_input… ✓ task_001 → SOLVED grover_iters: 16 | classical_equiv: 256 | speedup: 16× output grid written to: task_001_output.json ⊗ quantum advantage confirmed
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