Qiskit

IBM's quantum computing framework with 13M+ downloads. Use this when you need to build quantum circuits, optimize for hardware execution, or run on actual quantum computers. The skill covers the full workflow: circuit construction with gates and measurements, transpilation that's 83x faster than alternatives, execution through Sampler and Estimator primitives, and visualization. Strong for IBM Quantum hardware access (100+ qubit systems), but also supports IonQ and Amazon Braket. The references walk through everything from basic Bell states to variational algorithms like VQE and QAOA. Best choice if you're doing enterprise quantum work or need production-grade optimization and error mitigation on real hardware.

skills.sh installs: 2K
GitHub stars: 56.6K
last updated: Aug 21, 2026

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Install

$ npx -y skills add k-dense-ai/scientific-agent-skills --skill qiskit --agent claude-code

Installs into .claude/skills of the current project.

Files

Qiskit

Use current Qiskit 2.x APIs to build circuits, prepare hardware-compatible instruction set architecture (ISA) circuits, and execute them through V2 primitives.

Reviewed 2026-10-01 with local tests on qiskit==2.5.2, qiskit-ibm-runtime==0.50.0, and qiskit-aer==0.17.2. IBM account, QPU, session, and batch examples are illustrative and documentation/source-checked; no remote workloads were submitted. See references/sources.md for the verification boundary.

Runtime 0.50 deprecates the top-level SamplerV2/EstimatorV2 implementations. New code imports Sampler from qiskit_ibm_runtime.executor_sampler and Estimator from qiskit_ibm_runtime.executor_estimator. These still implement the V2 PUB interface, using client-side processing and Executor. Use option models from qiskit_ibm_runtime.options_models.