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Tensor network simulator

Skill a5c-ai/babysitter/library/specializations/domains/science/quantum-computing/skills/tensor-network-simulator

Tensor network-based simulation skill for large circuit approximationFrom its SKILL.md

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

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

SKILL.md

1.5 KB, 198 tokens by cl100k_base, as published. Nobody here has run it

Tensor Network Simulator

Purpose

Provides expert guidance on tensor network-based quantum circuit simulation for approximate evaluation of circuits beyond state vector limits.

Capabilities

  • MPS (Matrix Product State) simulation
  • PEPS simulation for 2D circuits
  • Contraction path optimization
  • Truncation error control
  • GPU-accelerated contraction
  • Circuit cutting support
  • Entanglement-limited approximation
  • Memory-time tradeoff tuning

Usage Guidelines

  1. Structure Analysis: Identify circuit entanglement structure
  2. Method Selection: Choose MPS, PEPS, or general tensor network
  3. Bond Dimension: Set appropriate truncation threshold
  4. Contraction Ordering: Optimize contraction path for efficiency
  5. Error Monitoring: Track approximation errors through simulation

Tools/Libraries

  • TensorNetwork
  • quimb
  • ITensor
  • cuTensorNet (NVIDIA cuQuantum)
  • cotengra

What ships with it

Read from the repository

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

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