# Vqc Trainer

> Variational quantum classifier training skill with gradient optimization

- Skill: `a5c-ai/vqc-trainer` (Agent Skill)
- Install (CLI): `npx skillmds@latest add a5c-ai/vqc-trainer`
- Raw SKILL.md: https://api.skillmd.com/api/skills/a5c-ai/vqc-trainer/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/vqc-trainer

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# VQC Trainer

## Purpose

Provides expert guidance on training variational quantum classifiers, including data encoding, circuit design, and gradient-based optimization.

## Capabilities

- Data encoding circuit design
- Variational layer construction
- Gradient-based optimization (SPSA, Adam)
- Cross-validation for QML
- Hyperparameter tuning
- Overfitting detection
- Learning curve analysis
- Ensemble methods

## Usage Guidelines

1. **Data Preparation**: Preprocess classical data for quantum encoding
2. **Encoding Design**: Select appropriate data encoding strategy
3. **Ansatz Design**: Build variational circuit with trainable parameters
4. **Training Setup**: Configure optimizer, learning rate, and batch size
5. **Evaluation**: Assess model on test set with proper metrics

## Tools/Libraries

- Qiskit Machine Learning
- PennyLane
- TensorFlow Quantum
- PyTorch
- scikit-learn