quimb-tensor-network

Solid

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

AI & Automation 814 stars 53 forks Updated today MIT

Install

View on GitHub

Quality Score: 93/100

Stars 20%
97
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
36
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill 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

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

Related Skills