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quantinuumclaw

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.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/arunnadarasa/quantinuumclaw
Or

What This Skill Does

The quantinuumclaw skill is an all-in-one developer toolkit designed to bridge the gap between quantum computing theory and production-ready web applications. It abstracts the complexity of the quantum-to-cloud pipeline by integrating Quantinuum's industry-leading H-series hardware and emulators with the Guppy quantum programming language. The skill facilitates the creation of robust backends using Selene—a specialized FastAPI framework—and ensures seamless deployment via Fly.io. Whether you are conducting molecular simulations for drug discovery or building quantum-powered optimization dashboards, this skill handles the boilerplate, allowing you to focus on quantum circuit design and domain-specific clinical logic.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/arunnadarasa/quantinuumclaw Ensure you have your environment variables for Quantinuum and Fly.io properly configured in your local development environment before initiating the build process.

Use Cases

This skill is specifically optimized for high-impact clinical and general enterprise domains:

  • Clinical Research: Utilize the chemistry use-case for molecular simulation, drug-protein binding studies, and advanced pharmacological modeling.
  • Treatment Optimization: Leverage optimization to solve complex logistical problems in hospital resource management or radiation therapy planning using QAOA algorithms.
  • Patient Stratification: Implement quantum machine learning models via the ml pipeline to categorize clinical data with higher dimensional accuracy.
  • Clinical Trial Integrity: Employ the random module for verifiable, true quantum-based trial randomization protocols.
  • Secure Infrastructure: Use crypto for the development of quantum-safe cryptographic protocols within clinical patient portals.

Example Prompts

  1. "Build a clinical molecular simulation demo using the quantinuumclaw skill for a drug discovery hackathon project."
  2. "Deploy my existing Guppy quantum circuit to the cloud using the Selene FastAPI backend and Fly.io."
  3. "Create a quantum-powered treatment optimization service for hospital resources using the optimization use-case."

Tips & Limitations

Always start by identifying your core mathematical requirement (chemistry vs. optimization). Ensure your Fly.io account has sufficient capacity for API hosting, and always verify your circuit depth against the specific Quantinuum hardware emulator target to optimize for fidelity. Note that this skill requires an active Quantinuum API token to execute actual circuits; without one, it will default to local simulation modes.

Metadata

Stars4473
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Updated2026-05-01
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-arunnadarasa-quantinuumclaw": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#quantum#clinical#fastapi#deployment#chemistry
Safety Score: 3/5

Flags: network-access, file-write, file-read, external-api, code-execution