by K-Dense-AI
qutip is a Python quantum physics simulation skill for open quantum systems, dissipation, time evolution, and quantum optics. Use this qutip guide for master equations, Lindblad dynamics, decoherence, cavity QED, state/operator simulation, and Scientific Python examples. Not for circuit-based quantum computing.
by K-Dense-AI
qiskit is an IBM quantum computing skill for building circuits, choosing backends, transpiling for hardware, and running jobs on simulators or IBM Quantum devices. It is a strong fit for qiskit usage in chemistry, optimization, and machine learning, especially when you need practical install-and-run guidance rather than a theory-only qiskit guide.
by K-Dense-AI
cirq is Google Quantum AI’s open-source Python framework for building, simulating, and running quantum circuits. Use the cirq skill for noise-aware circuit design, quantum characterization experiments, and Google hardware workflows. It is best for low-level circuit work; for IBM hardware use qiskit, for quantum ML with autodiff use pennylane, and for physics simulations use qutip.
