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Tutorials

Each tutorial takes a real quantum ML failure mode or design question, adds HilbertBench with one code change, and walks through the diagnostic output with the science behind it.

# Tutorial Concepts Time
01 Why Isn't My VQE Converging? Barren plateau, cost-landscape variance, ansatz depth 20 min
02 Am I Using Enough Shots? Shot noise floor, SNR, shot budget 15 min
03 Expressibility vs Trainability Active Mode, KL expressibility, tradeoff analysis 25 min
04 How Hardware Noise Degrades Your Results Circuit fidelity, gate error, noise profile 20 min

Prerequisites for all tutorials

pip install hilbertbench scipy

Tutorial 04 additionally requires:

pip install qiskit-aer

Python 3.10+, Qiskit 1.0+.