by Matt Corbett
Quantum computing engineering team — agents (quantum-solutions-architect, quantum-algorithm-engineer) answering 'is this even a quantum problem, and if so — which paradigm, modality, and algorithm, and can we trust the result?': hard TRIAGE (most problems win classically today), gate-model vs annealing, qubit modalities (superconducting/trapped-ion/neutral-atom/photonic), NISQ vs fault-tolerant (logical vs physical qubits, surface code), transpilation, VQE/QAOA, error MITIGATION (ZNE/PEC) vs CORRECTION, hybrid loops, and QPU access via SDKs (Qiskit/Cirq/PennyLane/Braket). skills, a knowledge bank, and templates. Engineering judgment, not a benchmark; the device/SDK/qubit-count landscape is volatile — every version carries a retrieval date + [verify-at-use]. Distinct from ml-engineering (classical MLOps), hardware-electronics-engineering (control board/cryo), security-engineering/cybersecurity-grc (post-quantum crypto defense), and performance-engineering (HPC). Needs ravenclaude-core.
Claude Code3 Skills