qiskit
OfficialBuild and run quantum circuits across simulators and hardware.
AuthorK-Dense-AI
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Qiskit enables building quantum circuits, running algorithms on simulators or real quantum hardware, and analyzing results across diverse backends and domains.
Core Features & Use Cases
- Circuit construction and measurements: Assemble quantum circuits with gates and measurement operations.
- Run quantum algorithms: Implement VQE, QAOA, Grover, and other algorithmic workflows.
- Transpilation and hardware mapping: Optimize circuits for hardware topology and native gate sets.
- Hardware backends: Execute on IBM Quantum, IonQ, Amazon Braket, and others; with simulators for development.
- Visualization and domain libraries: Explore circuits, results, and integration with chemistry and ML.
Quick Start
- Install: pip install qiskit
- Create a Bell state locally: from qiskit import QuantumCircuit qc = QuantumCircuit(2) qc.h(0) qc.cx(0, 1) qc.measure_all()
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: qiskit Download link: https://github.com/K-Dense-AI/claude-scientific-skills/archive/main.zip#qiskit Please download this .zip file, extract it, and install it in the .claude/skills/ directory.