Quantum Circuit Builder with Proof: Use this product when a quantum circuit needs verifiable evidence, not just. Use when an agent needs quantum circuit builder with proof, formally verified quantum circuit design, proof carrying quantum circuit certificates (qpcert), independent verification of a quantum proof certificate from another party, audit ready quantum computing artifacts for research and compliance, certify circuit, circuit, claims through AgentPMT-hosted remote tool calls.
Data & analysis
Quantum Agent Engineering
Try itScaffold and deploy quantum apps using Quantinuum, Guppy circuits, Selene backend, and Fly.io.
What it does
This skill scaffolds a quantum web application end to end: Guppy circuits run inside a Selene FastAPI service, the service deploys to Fly.io, and a Lovable React frontend connects to it. It ships CLI scripts (create_quantum_app.py, setup_selene_service.py, flyio_deploy.py, lovable_integrate.py), reference docs for Guppy, Selene, and Fly.io, plus boilerplate templates for backend and frontend. Pre-wired workload types include chemistry (VQE-style energy/property), optimization (QAOA), quantum ML (QNN/QSVM), quantum RNG, and quantum-safe crypto. Clinical notes emphasize synthetic or de-identified data, API keys stored in Fly.io secrets, and HIPAA/DPA considerations for production. It is tuned…
When to use it
- Scaffolding a Selene FastAPI backend and deploying it to Fly.io
- Wiring Guppy circuits into REST endpoints exposed by Selene
- Building a clinical or hackathon quantum demo with a React/TS frontend
- Mapping chemistry, optimization, ML, RNG, or crypto workloads to quantum code
The skill document
QuantinuumClaw – Quantum Guppy/Selene Stack
This skill provides everything needed to build production-ready quantum applications using Quantinuum (hardware/emulator), Guppy (quantum language), Selene (FastAPI backend), and Fly.io (deployment), with optional Lovable frontend. It is tuned for the OpenClaw Clinical Hackathon and general quantum web apps.
When to Use This Skill
Use when:
- Building for the OpenClaw Clinical Hackathon or any clinical/healthcare quantum project
- Building web applications that use quantum computing (optimization, chemistry, ML, random, crypto)
- Deploying quantum algorithms as REST APIs or creating dashboards for quantum results
- User mentions: clinical, healthcare, drug discovery, treatment optimization, patient stratification, molecular simulation, clinical trials, Guppy, Selene, Fly.io
Example requests: "Build a quantum portfolio optimizer with a web interface" · "Deploy my Guppy algorithm to the cloud" · "Create a clinical molecular simulation demo" · "Set up a quantum ML service on Fly.io"
Stack at a Glance
| Component | Role |
|---|---|
| Quantinuum | Quantum hardware (H-series) or emulator |
| Guppy | Quantum programming (circuits, gates, measurement) |
| Selene | FastAPI backend that runs Guppy and exposes REST API |
| Fly.io | Hosts the Selene backend in the cloud |
| Lovable | React/TS frontend template; use assets/lovable-template/ or any app that calls the Selene API |
Quick Start (One Command)
From the repo root:
python3 scripts/create_quantum_app.py \
--app-name "clinical-demo" \
--use-case "chemistry" \
--description "Clinical molecular simulation" \
--deploy
Then set VITE_API_URL in the frontend to your Fly.io app URL (e.g. https://clinical-demo.fly.dev).
Clinical use-case → --use-case mapping:
| Clinical idea | --use-case | Notes |
|---|---|---|
| Drug discovery / molecular sim | chemistry | Molecules, energy, properties |
| Treatment / resource optimization | optimization | QAOA-style optimization |
| Patient stratification / ML | ml | Quantum ML models |
| Trial randomization | random | Quantum RNG |
| Secure keys / protocols | crypto | Quantum-safe crypto |
General use cases (portfolio, finance, etc.) also use optimization, chemistry, ml, random, crypto, or finance. See references/clinical-use-cases.md for detailed clinical mappings.
Full Workflow: Creating a Quantum Application
Step 1: Define the use case
Identify the problem (optimization, simulation, ML, cryptography, clinical, etc.).
Step 2: Create Selene backend
python3 scripts/setup_selene_service.py \
--app-name "my-quantum-app" \
--use-case "chemistry" \
--description "Quantum chemistry simulator"
This creates a backend dir with FastAPI, health check, Dockerfile, and fly.toml.
Step 3: Implement your Guppy circuit
Edit my-quantum-app/main.py → QuantumService._run_real_quantum(). Use references/guppy_guide.md for syntax. For clinical: chemistry (molecule, shots, precision), optimization (objective, constraints), ML (features, epochs).
Step 4: Deploy to Fly.io
python3 scripts/flyio_deploy.py --app-name "my-quantum-app" --service-dir "my-quantum-app" --region "lhr"
Set secrets with fly secrets set; use emulator for demos if preferred.
Step 5: Frontend
Use assets/lovable-template/ or run:
python3 scripts/lovable_integrate.py \
--app-name "my-frontend" \
--backend-url "https://my-quantum-app.fly.dev" \
--quantum-use-case "chemistry"
Then npm install and npm run dev in the frontend dir.
Step 6: Connect and test
Point frontend VITE_API_URL to the Fly.io backend; hit /health to verify.
Clinical Use Case Cheat Sheet
- Drug discovery / molecular simulation:
chemistry— VQE-style energy/property in Guppy; expose molecule type and params via API. - Treatment / resource optimization:
optimization— Define objective (cost, wait time); run QAOA in Selene; display results in UI. - Patient stratification / classification:
ml— Map patient features to model inputs; return risk/stratum or classification. - Randomization (e.g. trials):
random— Quantum RNG from Guppy; expose bits/shots in API. - Security / key material:
crypto— Key generation or quantum-safe primitives; keep keys on backend only.
Data and Compliance (Clinical / Hackathon)
- Demos: Use synthetic or de-identified data only. Do not send real PHI to quantum backends or store in Fly.io without a compliance plan.
- API keys: Store in Fly.io secrets (
fly secrets set), never in code or frontend. - Production: Add auth, rate limiting, and consider HIPAA/DPA; restrict CORS in Selene.
Resources
scripts/
create_quantum_app.py— All-in-one: backend + deploy + frontendsetup_selene_service.py— Scaffold Selene backendflyio_deploy.py— Deploy to Fly.iolovable_integrate.py— Frontend wired to backend URL
references/
guppy_guide.md— Guppy syntax, gates, circuits, examplesselene_api.md— Endpoints, request/response, errors, jobsflyio_config.md— Fly.io scaling, regions, secrets, monitoringlovable_patterns.md— Frontend patterns, dashboard, API clientclinical-use-cases.md— Detailed clinical use-case mappings and compliance notes
assets/
selene-template/— Backend boilerplate (main.py, Dockerfile, fly.toml, .env.example)lovable-template/— React/TS frontend with QuantumDashboard and API client
Advanced: Multi-Quantum Use Cases
- Optimization dashboard: Selene + QAOA/VQE; Lovable with sliders; Fly.io with scaling.
- Chemistry explorer: Guppy molecular simulations; 3D viewer; optional persistent storage.
- Quantum ML API: Selene exposing QNN/QSVM; Lovable for training/predictions; Fly.io (GPU if needed).
Performance, Cost, and Security
- Queuing: Use job queues for long-running quantum jobs; WebSockets or polling in frontend.
- Caching: Cache identical computations to reduce quantum hardware cost.
- Fly.io: Scale to zero when idle (
min_machines_running = 0); usereferences/flyio_config.mdfor VM sizing. - Security: No API keys in frontend; rate limiting on Selene; HTTPS in production; see
references/selene_api.mdfor auth patterns.
Troubleshooting
- Guppy import error:
pip install guppyin backend; or use mock mode for demos. - Selene not starting: Check
fly.toml,fly logs, and env vars. - Frontend can’t connect: Verify
VITE_API_URL, CORS in Selene, andcurl .../health. - Fly.io deploy fails:
fly deploy --clean;fly logs --phase build; ensurefly auth login. - Quantum results wrong: Validate circuit logic and measurement; test with emulator first.
Next Steps
After initial setup: monitor quantum usage/costs; add auth to Selene if public; improve error handling and logging; consider persistence for job history.
For detailed clinical use-case specs and compliance reminders, see references/clinical-use-cases.md.
Questions people ask
- Does it include deployment?
- Yes. flyio_deploy.py ships the Selene backend to Fly.io and configures region, secrets, and scaling; lovable_integrate.py wires a Lovable React frontend to the backend URL via VITE_API_URL.
- What quantum workloads does it cover?
- Reference docs cover Guppy syntax for circuits, gates, and measurement. The skill lists example workloads: VQE-style chemistry, QAOA optimization, QNN/QSVM quantum ML, quantum RNG, and quantum-safe crypto primitives.
- Is it safe for clinical data?
- The skill instructs demos to use synthetic or de-identified data only, store API keys in Fly.io secrets (never in code or frontend), and add auth, rate limiting, and HIPAA/DPA review before any production use.
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