# Tensor Network Simulator

> Tensor network-based simulation skill for large circuit approximation

- Skill: `a5c-ai/tensor-network-simulator` (Agent Skill)
- Install (CLI): `npx skillmds@latest add a5c-ai/tensor-network-simulator`
- Raw SKILL.md: https://api.skillmd.com/api/skills/a5c-ai/tensor-network-simulator/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: a5c-ai (https://skillmd.com/u/a5c-ai)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/a5c-ai/tensor-network-simulator

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# 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