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Babysitter quimb-tensor-network

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

install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/physics/skills/quimb-tensor-network" ~/.claude/skills/a5c-ai-babysitter-quimb-tensor-network && rm -rf "$T"
manifest: library/specializations/domains/science/physics/skills/quimb-tensor-network/SKILL.md
tags
#quantum-simulations#tensor-networks#entanglement-analysis#dmrg#mps#quantum-mechanics
source content

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