# genpark-quantum-grover-search-oracle-amplifier-skill

> genpark-quantum-grover-search-oracle-amplifier-skill — alpha-park-genpark-quantum-grover-search-oracle-amplifier-skill. Use this tool when you need to accelerate unstructured database queries with quadratic speedup, solving problems like efficient searching and information retrieval. It takes an unstructured database and a search query as input, and outputs the amplified search results. Utilize this skill in contexts where rapid searching of large datasets is crucial, such as data analysis and machine learning applications.

Canonical page: https://skillsregistry.net/skills/alpha-park-genpark-quantum-grover-search-oracle-amplifier-skill  
JSON: https://api.skillsregistry.net/v1/skills/alpha-park-genpark-quantum-grover-search-oracle-amplifier-skill

## Description

Grover's quantum search amplitude amplification engine demonstrating quadratic speedup for unstructured database queries via phase inversion oracles.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Alpha-Park/genpark-quantum-grover-search-oracle-amplifier-skill)

## 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": "alpha-park-genpark-quantum-grover-search-oracle-amplifier-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-quantum-grover-search-oracle-amplifier-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alpha-park-genpark-quantum-grover-search-oracle-amplifier-skill/pull`

---
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
