ReddRadar
Agent skill
tensor-network-simulator
Tensor network-based simulation skill for large circuit approximation
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/quantum-computing/skills/tensor-network-simulator
Metadata
Additional technical details for this skill
- phase
- 6
- domain
- science
- category
- simulation
- specialization
- quantum-computing
SKILL.md
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
- Structure Analysis: Identify circuit entanglement structure
- Method Selection: Choose MPS, PEPS, or general tensor network
- Bond Dimension: Set appropriate truncation threshold
- Contraction Ordering: Optimize contraction path for efficiency
- Error Monitoring: Track approximation errors through simulation
Tools/Libraries
- TensorNetwork
- quimb
- ITensor
- cuTensorNet (NVIDIA cuQuantum)
- cotengra
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