qiskit-ai-skills

Plugin qiskit-ai-skills from marketplace qiskit in Qiskit/skills. Commands read from the repo's manifest — yesterday.

Skills (5)

• managed-workflows-quickstart

  Help a researcher whose local quantum-classical workflow (AQC-Tensor, QAOA, SQD, VQE, Trotter/MPS, error mitigation, or any Python code) has outgrown their machine run it on IBM Quantum Managed Workflows — size it roughly, wrap it as a function, deploy it, run it, and scale it up. For their own use;

• migrate-qiskit-ibm-runtime

  Migrate a qiskit-ibm-runtime workload from any older version up to the latest release — and, when the installed runtime supports it, onward to the client-side (Executor-backed) SamplerV2/EstimatorV2. Primitives are the bulk (V1 primitives -> V2 interface, and server-side V2 -> client-side V2), but i

• select-error-mitigation

  Select and configure an error mitigation/suppression strategy for a Qiskit quantum workload, grounded in the capability registry in this skill directory. Use when the user runs /select-error-mitigation, or asks which error mitigation technique(s) to use for an Estimator, Sampler, or Executor workloa

• select-sqd-eigensolver

  Choose and integrate a solver for the diagonalization step of a sample-based quantum diagonalization (SQD) workflow — PySCF, Dice, SBD, or Fulqrum (which supplies the matrix-vector product, not an eigensolver). Use whenever the user runs /select-sqd-eigensolver or is deciding how to diagonalize in S

• simulate-fermionic-systems

  Guide for simulating fermionic systems (molecules, Hubbard/Anderson/impurity models, lattice fermions, any second-quantized Hamiltonian) on quantum computers with the qiskit-fermions package — building fermionic operators and circuits, choosing, comparing and implementing fermion-to-qubit encodings

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