nqs-sqd-research

thc1006/sqd-nqs-12bit

Benchmarking Neural Quantum States (NQS) as classical samplers for Sample-based Quantum Diagonalization (SQD) in 12-bit molecular systems. Compares FFNN-based NQS with uniform random sampling on LiH, H4, H6 molecules using qiskit-addon-sqd.

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Python

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Installation

Option 1: Use slash command in Claude Code

/install-skill https://github.com/thc1006/sqd-nqs-12bit/tree/main/.claude/skills/nqs-sqd-research

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/thc1006/sqd-nqs-12bit/tree/main/.claude/skills/nqs-sqd-research ~/.claude/skills/sqd-nqs-12bit

# Project-specific

git clone https://github.com/thc1006/sqd-nqs-12bit/tree/main/.claude/skills/nqs-sqd-research .claude/skills/sqd-nqs-12bit

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/thc1006/sqd-nqs-12bit/tree/main/.claude/skills/nqs-sqd-research"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/thc1006/sqd-nqs-12bit/tree/main/.claude/skills/nqs-sqd-research

Option 2: Clone to extensions directory

git clone https://github.com/thc1006/sqd-nqs-12bit/tree/main/.claude/skills/nqs-sqd-research ~/.gemini/extensions/sqd-nqs-12bit

Topics

computational-physics machine-learning molecular-simulation neural-quantum-states python pytorch qiskit quantum-chemistry quantum-computing variational-monte-carlo