# Data Encoder

> Classical data encoding skill for quantum machine learning applications

- Skill: `majiayu000/data-encoder` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add majiayu000/data-encoder`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/data-encoder/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/data-encoder

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# 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

1. **Feature Analysis**: Understand data dimensionality and structure
2. **Encoding Selection**: Choose encoding based on data type and qubit budget
3. **Scaling**: Apply appropriate normalization for encoding method
4. **Depth Analysis**: Balance encoding expressivity with circuit depth
5. **Verification**: Validate encoded states capture relevant features

## Tools/Libraries

- PennyLane
- Qiskit Machine Learning
- Cirq
- TensorFlow Quantum
- NumPy