Quimb Tensor Network

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

Use Quimb Tensor Network in Claude, ChatGPT or Ahel Desktop

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Also: Claude Code · Cursor · Codex

Then ask your AI: use the Quimb Tensor Network skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.

No other account needed.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Quimb Tensor NetworkStart free

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/physics/skills/quimb-tensor-network/SKILL.md and read by Ahel’s review.

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

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

Tools/Libraries

quimb
QuTiP
ITensor

Signals

GitHub stars: 2k
Forks: 113
Last commit: Sep 2026

Advanced

Item type: skill
Key: quimb-tensor-network
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter