Enables building and deploying quantum computing applications with Quantinuum, Guppy, Selene, and Fly.io. Use for the OpenClaw Clinical Hackathon, clinical or healthcare projects (drug discovery, treatment optimization, patient stratification, trial randomization), quantum-powered web apps, deploying quantum algorithms to the cloud, or integrating quantum results into user-facing interfaces.
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Enables building and deploying quantum computing applications with Quantinuum, Guppy, Selene, and Fly.io. Use for the OpenClaw Clinical Hackathon, clinical or healthcare projects (drug discovery, treatment optimization, patient stratification, trial randomization), quantum-powered web apps, deploying quantum algorithms to the cloud, or integrating quantum results into user-facing interfaces.
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"
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.).
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).
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.
