Task 01: compress the TensorCircuit graph (9.64x) - #8
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Take-home insight
The speedup comes from constructing all site-local gates in one batched closed form, which removes repeated Python/TensorNetwork graph-building overhead.
Measured result
The retained README contains the short factor table and the single attribution figure; factors too small to affect the engineering decision were removed from the upstream presentation.
Reviewer-facing files
optimized_solutions/challenge-01/README.mdoptimized_solutions/challenge-01/solution_1_graph_compression.pyoptimized_solutions/challenge-01/factor-ablation.svgFull profiles and research chronology remain in
hmyuuu/OrbitBreakersExpertBenchmarks.