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Quimb tensor network

Skill a5c-ai/babysitter/library/specializations/domains/science/physics/skills/quimb-tensor-network

QuTiP/quimb tensor network skill for quantum many-body simulations and entanglement analysisFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill quimb-tensor-network

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.3 KB, 173 tokens by cl100k_base, as published. Nobody here has run it

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

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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