Cirq — квантовые схемы и симуляция

★ 7.0 · engineering

cirq is a Claude Code skill that integrates Google Quantum AI's Cirq framework for designing, simulating, and executing quantum circuits on both simulators and real quantum hardware. It covers the full development workflow: building circuits with GridQubit, LineQubit, and NamedQubit types; running parameter sweeps; applying circuit transformations and optimizations such as gate merging and Z-gate ejection; noise modeling with depolarizing, amplitude damping, and thermal noise channels; and submitting jobs to real processors via cirq-google, cirq-ionq, cirq-aqt, cirq-pasqal, and azure-quantum. The skill targets Cirq 1.6.1 (Python 3.11+, Apache-2.0). It is best suited for engineers working on NISQ circuits, noise characterization experiments, or hardware-specific gate set compilation — for IBM hardware use qiskit, and for quantum ML with autodiff use pennylane.