Agent skill
data-encoder
Classical data encoding skill for quantum machine learning applications
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/data-encoder
Metadata
Additional technical details for this skill
- phase
- 6
- domain
- science
- category
- quantum-ml
- specialization
- quantum-computing
SKILL.md
Data Encoder
Purpose
Provides expert guidance on encoding classical data into quantum states for machine learning applications, balancing expressiveness with circuit complexity.
Capabilities
- Angle encoding
- Amplitude encoding
- IQP encoding
- Hardware-efficient encoding
- Encoding expressibility analysis
- Data re-uploading strategies
- Feature scaling for encoding
- Encoding depth optimization
Usage Guidelines
- Feature Analysis: Understand data dimensionality and structure
- Encoding Selection: Choose encoding based on data type and qubit budget
- Scaling: Apply appropriate normalization for encoding method
- Depth Analysis: Balance encoding expressivity with circuit depth
- Verification: Validate encoded states capture relevant features
Tools/Libraries
- PennyLane
- Qiskit Machine Learning
- Cirq
- TensorFlow Quantum
- NumPy
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