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Found 2 Skills
Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-level circuit design. For IBM hardware use qiskit; for quantum ML with autodiff use pennylane; for physics simulations use qutip.
Design, review, prototype, measure, and troubleshoot electronic circuits using component evidence, worst-case calculations, interface contracts, and staged bench verification. Use for component selection, analog or digital building blocks, power and protection, sensor conditioning, schematic-to-wiring review, instrumented diagnosis, and I2C electrical integration. Do not use as a substitute for exact device documentation, ESP32 firmware operations, FPGA RTL development, named CAD-tool operation, or regulated design certification.