计划执行与检查节点
executing-plans
按既定实施计划完成工作,保持过程检查和反馈。
quantum-info【效率与协作】Guides agents using Qiskit quantum-information states, operators, observables, channels, random generators, predicates, and measures.
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Use this sub-skill when the task is about mathematical objects in qiskit.quantum_info: states, operators, observables, channels, random generators, matrix predicates, and fidelity or entropy measures.
references/workflows.md for common state, operator, Pauli, random-object, and measure recipes.references/troubleshooting.md for dimension, measurement, optional-dependency, and numerical-tolerance failures.../../references/module-map.md for route boundaries.../../scripts/check_qiskit_environment.py --sections quantum-info for a source-free quantum-info smoke check.Statevector, DensityMatrix, StabilizerState, and state utilities.Operator, ScalarOp, SparsePauliOp, Pauli, Clifford, sparse Pauli types, and channel objects.random_statevector, random_unitary, random_pauli, and random_quantum_channel.../circuit/SKILL.md.../transpiler/SKILL.md.../primitives/SKILL.md.../serialization/SKILL.md.../visualization/SKILL.md.Start here when the user asks about amplitudes, matrices, state evolution, observables, Pauli operators, fidelity, or why two circuits are equivalent up to global phase.
Operator.from_circuit() expects a unitary-like circuit, while measured circuits are often not valid operator inputs.SparsePauliOp for estimator observables and Hamiltonian-like sums.