Exact SHAP subset evaluation cost.
Simulation studio
QGSHAP Explainability Accelerator
A GNN over a molecular graph compares classical SHAP evaluation cost with a QGSHAP path that uses amplitude amplification.
Matching explanation quality is held fixed while the learner watches computational cost fall from exhaustive or sampled classical evaluation toward a quantum-assisted square-root sample regime.
Classical exact cost O(2^N), sampled cost O(M), QGSHAP cost O(sqrt(M))
Module context
Module 4: Representation, compression, and explainability
Module 4 simulations make representational tradeoffs visible, especially where quantum structure is used for compression or explanation acceleration.
- 2 labs in this module.
- Difficulty: Intermediate.
- Dedicated route: /simulations/qgshap-explainability-accelerator.
Live lab
Interactive simulation workspace
This studio route isolates a single simulation so the learner can focus on one model, one control surface, and one explanatory framing at a time.
Browser-playable lab
QGSHAP Explainability Accelerator
Hold explanation quality constant and compare the sample complexity of classical SHAP versus a Grover-style amplitude-amplified path.
Controls
Outputs
Monte Carlo sampled SHAP workload.
Amplitude-amplified sample requirement.
Relative speedup against sampled SHAP: about 8x at the current sample budget.
Why this lab matters
Curriculum fit
QGSHAP Explainability Accelerator sits inside Module 4to reinforce the module's core teaching objective through direct manipulation rather than summary-only reading.
Module 4 simulations make representational tradeoffs visible, especially where quantum structure is used for compression or explanation acceleration.
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