Qiskit Patterns

Qiskit Patterns (Map–Optimize–Execute–Post-process)

qc/workflow

The standard 4-step workflow for running a quantum computation:

1. Map — design the abstract circuit for the problem (gates, qubits, observable)
2. Optimize (Transpile) — adapt the circuit to the target backend’s native gates & connectivity — see Transpilation
3. Execute — run using a primitive (Sampler for bitstring counts, Estimator for expectation values of an observable)
4. Post-process — analyze/interpret the results (e.g. compare fidelity, plot distributions)

Related

• Transpilation
• SparsePauliOp
• Noisy Execution and Fidelity
• The Primitives Family — what “Execute” actually dispatches to
• QuantumCircuit Basics — what “Map” actually builds
• Why Quantum Needs HPC — the same four steps, reframed at HPC scale

Self-Check

• Could you name all four steps of Qiskit Patterns in order, and explain what each one does?
• Why does “Optimize” (transpile) have to happen between “Map” and “Execute,” not before or after?
• Which primitive would you use for “Execute” if you wanted expectation values instead of bitstring counts?