Qiskit
Skill Verifiziert AktivIBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools. Best for IBM hardware execution, quantum error mitigation, and enterprise quantum computing. For Google hardware use cirq; for gradient-based quantum ML use pennylane; for open quantum system simulations use qutip.
To enable users to effectively leverage the Qiskit quantum computing framework for building, optimizing, and executing quantum circuits, particularly when targeting IBM Quantum hardware.
Funktionen
- Detailed Qiskit installation and setup guides
- Comprehensive circuit building capabilities
- Execution on simulators and IBM Quantum hardware
- Circuit optimization and transpilation
- Visualization of circuits, results, and states
Anwendungsfälle
- Targeting IBM Quantum hardware for quantum computations
- Working with Qiskit Runtime for production workloads
- Needing IBM optimization tools for quantum circuits
- Learning and implementing quantum algorithms with Qiskit
Nicht-Ziele
- Providing alternatives to IBM Quantum hardware
- Covering quantum computing frameworks other than Qiskit
- Deep dives into theoretical quantum physics beyond Qiskit applications
Workflow
- Install Qiskit and set up IBM Quantum account (references/setup.md)
- Build quantum circuits using gates and operations (references/circuits.md)
- Optimize circuits for hardware via transpilation (references/transpilation.md)
- Execute circuits using Sampler or Estimator primitives (references/primitives.md)
- Analyze and visualize results (references/visualization.md)
Praktiken
- Quantum circuit design
- Hardware-specific optimization
- Hybrid quantum-classical algorithms
- Best practices for execution and analysis
Voraussetzungen
- Python 3.8+ (or recommended version)
- uv package manager
- Qiskit and visualization dependencies
- IBM Quantum account and API token (for hardware execution)
Execution
- info:Pinned dependenciesThe skill instructs users to install Qiskit via `uv pip`, which handles dependency management. While explicit pinning isn't shown in the SKILL.md, `uv` typically manages dependencies effectively. The use of `uv pip install qiskit` implies latest version installation, not pinned.
Installation
npx skills add K-Dense-AI/claude-scientific-skillsFührt das Vercel skills CLI (skills.sh) via npx aus — benötigt Node.js lokal und mindestens einen installierten skills-kompatiblen Agent (Claude Code, Cursor, Codex, …). Setzt voraus, dass das Repo dem agentskills.io-Format folgt.
Qualitätspunktzahl
VerifiziertVertrauenssignale
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