Step-by-step guides to learn Qamomile.
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In this section: encoding primitive resource-estimation simulation tutorial
In other sections: algorithm chemistry error-correction integration machine-learning optimization sample-based usage variational
Define, visualize, and execute a kernel; the affine rule.
Structure vs runtime parameters, bind/sweep pattern.
VectorView, slice assignment, nested slices, and passing views to helper kernels.
qmc.control for built-in gates and sub-kernels, concrete vs symbolic control counts, error catalogue.
Symbolic cost analysis, gate breakdown, scaling.
sample() vs run(), observables, bit ordering.
Loops, sparse data, conditional branching.
Helper kernels, composite gates, stubs.
From a dense Hermitian matrix to a Pauli sum and a time-evolution circuit.
The 10-stage pipeline, IR walkthrough, backend emission.
Ready for concrete algorithms? Head over to Algorithms — browse by tag to jump to QAOA, Hamiltonian simulation, and more.