quantum-computing-engineering
v0.1.2Quantum 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.
By Matt CorbettLicense: MIT7 GitHub starsUpdated last week
Directory evidence
- Runtimes
- Claude Code
- Parsed components
- 3 skill or MCP entries
- Source updated
- Sep 15, 2026
- Manifest status
- Canonical path parsed
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Install quantum-computing-engineering for Claude Code
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install quantum-computing-engineering@agent-plugin-marketplacePaste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.
The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.
Get the source manually
git clone https://github.com/mcorbett51090/RavenClaudeClone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is plugins/quantum-computing-engineering/.
Plugin files
├── .claude-plugin/plugin.json├── skills/design-and-transpile-quantum-circuit/SKILL.md├── skills/select-error-mitigation-and-benchmark/SKILL.md└── skills/triage-quantum-use-case/SKILL.md
Included Skills3
Design a quantum circuit for a chosen algorithm and transpile it to a real device's topology and native gate set — qubits/gates/measurement, the VQE/QAOA/quantum-kernel ansatz, decomposition to native gates, routing to qubit connectivity with SWAP overhead, and the transpiled depth checked against the coherence budget so it stays shallow enough for NISQ. Also builds the hybrid quantum-classical optimizer loop for variational algorithms. Reach for this when the user asks 'build/transpile this circuit for <backend>', 'set up a VQE/QAOA', 'what's the depth after routing?', or 'which ansatz/optimizer?'. Used by `quantum-algorithm-engineer` (primary).
Select NISQ error-mitigation techniques for a noisy circuit and benchmark the result honestly — zero-noise extrapolation, probabilistic error cancellation, measurement-error mitigation, dynamical decoupling (mitigation, NOT the error correction fault tolerance will provide), the shots for a target statistical error, and a benchmark against an exact/simulated reference with the residual bias/variance quantified. Reach for this when the user asks 'the results are noisy — can I trust them?', 'which error mitigation?', 'how many shots?', or 'benchmark this vs the exact answer'. Used by `quantum-algorithm-engineer` (primary).
Decide whether a problem should use quantum computing at all — and if so, which paradigm, qubit modality, NISQ-vs-fault-tolerant placement, SDK/provider, and resource estimate — by traversing the quantum triage decision tree (classical-vs-quantum gate → paradigm → modality → NISQ-vs-FT → SDK/provider), returning a go/no-go verdict that defaults to 'classical wins today' unless a proven advantage, an in-regime problem size, and an affordable state-prep cost all hold. Reach for this when the user asks 'should we solve this with quantum?', 'gate-model or annealing?', 'which qubit hardware?', 'is this NISQ-doable or does it need fault tolerance?', or 'Qiskit/Cirq/PennyLane/Braket?'. Used by `quantum-solutions-architect` (primary).
Plugin manifests1
{
"name": "quantum-computing-engineering",
"version": "0.1.2",
"description": "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.",
"author": {
"name": "Matt Corbett"
},
"homepage": "https://github.com/mcorbett51090/RavenClaude",
"license": "MIT",
"keywords": [
"quantum-computing",
"quantum-algorithms",
"qiskit",
"cirq",
"pennylane",
"amazon-braket",
"nisq",
"vqe-qaoa",
"error-mitigation",
"quantum-error-correction",
"transpilation",
"quantum-annealing"
],
"requires": {
"plugins": [
"ravenclaude-core@>=0.7.0"
]
}
}For maintainers
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