# Quantum Kernel Estimator

> Quantum kernel computation skill for quantum machine learning

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

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# Quantum Kernel Estimator

## Purpose

Provides expert guidance on quantum kernel methods for machine learning, enabling kernel-based classifiers and regressors with quantum feature maps.

## Capabilities

- Fidelity quantum kernel
- Projected quantum kernel
- Kernel alignment optimization
- Feature map design
- SVM integration with quantum kernels
- Kernel matrix visualization
- Bandwidth tuning
- Trainable kernel circuits

## Usage Guidelines

1. **Feature Map Selection**: Design quantum feature map for data encoding
2. **Kernel Computation**: Calculate kernel matrix entries via circuit execution
3. **Alignment Optimization**: Tune kernel for target classification task
4. **SVM Training**: Use quantum kernel with classical SVM solvers
5. **Performance Evaluation**: Assess classification accuracy and quantum advantage

## Tools/Libraries

- Qiskit Machine Learning
- PennyLane
- scikit-learn
- CVXPY
- NumPy