# QML-MCP

> Use this tool when you need to perform quantum machine learning operations, such as executing quantum circuits or training variational quantum classifiers, to solve complex problems in fields like chemistry and optimization. It takes in quantum circuits and datasets as inputs and outputs trained models and evaluation metrics. Ideal for use cases where classical machine learning methods are insufficient, and quantum computing can provide a computational advantage.

Canonical page: https://skillsregistry.net/skills/des137-qml-mcp  
JSON: https://api.skillsregistry.net/v1/skills/des137-qml-mcp

## Description

Enables quantum machine learning operations using Qiskit, including executing quantum circuits, computing quantum kernels, training variational quantum classifiers, and evaluating quantum ML models.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gka56fs8mf)
- **Repository:** <https://github.com/des137/qml-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "des137-qml-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/des137-qml-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/des137-qml-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt