qiskit

Build and execute quantum circuits by constructing gates locally, transpiling them for hardware topologies, and running them on IBM Quantum backends using Sampler and Estimator primitives. This workflow supports both local simulators and cloud hardware execution.

Optimizing quantum circuits for real hardware topologies requires transpilation to match specific device connectivity, which reduces gate counts and error rates. This skill provides hardware-aware transpilation to map circuits efficiently onto IBM Quantum backends.

Yes, you can run variational algorithms like VQE for chemistry simulations and QAOA for optimization problems. The skill manages the entire hybrid workflow from circuit mapping and transpilation to execution and post-processing results.

Yes, qiskit-aer and qiskit-ibm-runtime are required for full functionality across local and cloud environments. These dependencies enable seamless switching between local statevector simulation and execution on real IBM Quantum hardware.

Use Sampler and Estimator primitives to manage hybrid execution workflows, allowing you to switch between local simulators and cloud-based IBM Quantum hardware. They handle circuit execution and result retrieval for variational algorithms and simulations.

Yes, quantum machine learning and chemistry simulations are supported through dedicated qiskit-machine-learning and qiskit-nature modules. These allow you to implement specialized algorithms alongside standard circuit construction and optimization tasks.