quantinuumclaw_skill

Overview

This skill enables building and deploying production-ready quantum web applications using Quantinuum hardware/emulator, Guppy quantum code, a Selene FastAPI backend, and Fly.io for cloud hosting. It is optimized for clinical and healthcare projects (drug discovery, treatment optimization, patient stratification, trial randomization) and for hackathon demos. The package includes templates, scripts, and references to scaffold backend services, integrate a React/TS frontend, and deploy to Fly.io.

How this skill works

The skill scaffolds a Selene FastAPI service that runs Guppy circuits or emulators and exposes REST endpoints for jobs, health, and results. Deployment scripts build Docker images, configure Fly.io, and set secrets for secure operation. A Lovable frontend template and integration helpers wire a React/TS dashboard to the Selene API so quantum results can be presented to users.

When to use it

• Building clinical quantum prototypes: molecular simulation, trial randomization, patient stratification
• Deploying Guppy quantum algorithms as REST APIs or cloud services
• Creating quantum-powered web dashboards or interactive demos for hackathons
• Integrating quantum results into user-facing interfaces or pipelines
• Testing algorithms on Quantinuum hardware or emulator before production rollout

Best practices

• Use synthetic or de-identified clinical data for demos; avoid sending PHI to quantum backends
• Store API keys and credentials in Fly.io secrets; never embed secrets in code or frontend
• Test circuits locally with the emulator before running on hardware to reduce cost
• Queue long-running quantum jobs and use polling or WebSockets for frontend updates
• Cache repeated computations to minimize hardware usage and reduce latency

Example use cases

• Drug discovery demo: VQE molecular energy scans served by Selene and visualized in Lovable
• Treatment optimization: run QAOA on clinical resource-allocation models and expose solutions via API
• Patient stratification: quantum ML model serving predictions through Selene for downstream apps
• Trial randomization: provide quantum RNG endpoints that return secure random bits for study allocation
• Hackathon full-stack app: scaffold backend, deploy to Fly.io, and attach the Lovable dashboard