Agent-Skills.md

Agent Skills: Quimb Tensor Network

QuTiP/quimb tensor network skill for quantum many-body simulations and entanglement analysis

quantum-mechanicsID: a5c-ai/babysitter/quimb-tensor-network

Repository

a5c-ai/babysitter
a5c-aiLicense: MIT
244

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pnpm dlx add-skill https://github.com/a5c-ai/babysitter/tree/HEAD/plugins/babysitter/skills/babysit/process/specializations/domains/science/physics/skills/quimb-tensor-network

Skill Files

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plugins/babysitter/skills/babysit/process/specializations/domains/science/physics/skills/quimb-tensor-network/SKILL.md

Skill Metadata

Name
quimb-tensor-network
Description
QuTiP/quimb tensor network skill for quantum many-body simulations and entanglement analysis

Quimb Tensor Network

Purpose

Provides expert guidance on tensor network simulations for quantum many-body systems, including MPS, DMRG, and entanglement analysis.

Capabilities

  • MPS and DMRG calculations
  • TEBD time evolution
  • Entanglement entropy computation
  • Quantum master equation solving
  • Open quantum systems dynamics
  • GPU-accelerated contractions

Usage Guidelines

  1. State Representation: Use MPS for one-dimensional systems
  2. Ground States: Run DMRG for ground state calculations
  3. Time Evolution: Use TEBD for dynamics
  4. Entanglement: Calculate entanglement entropy and spectra
  5. Open Systems: Model dissipative quantum systems

Tools/Libraries

  • quimb
  • QuTiP
  • ITensor