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QISKIT
Python SDK for quantum circuits, primitives, and backends
Apache-2.0
ABOUT
Quantum experiments need a portable circuit IR, transpilers, and a backend API, not one-off notebook math. Qiskit is the standard Python SDK so researchers can compose circuits, optimize them, and run on simulators or IBM Quantum hardware.
INSTALL
pip install qiskitINTEGRATION GUIDE
1. Build and transpile a variational circuit for a quantum machine learning experiment
2. Run primitives such as Sampler and Estimator against a local simulator
3. Submit optimized circuits to IBM Quantum backends from Python
4. Teach quantum computing with Qiskit's circuit library and visualization tools
5. Compile the same circuit for multiple hardware targets without rewriting gates
TAGS
quantumsdkpythonibmcircuitsmachine-learningsimulators