Quantum Kernel Estimator

SkillDev tools

Quantum kernel computation skill for quantum machine learning

Use Quantum Kernel Estimator in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add Quantum Kernel Estimator and connect your AI. About a minute.

Claude ChatGPT Ahel Desktop

Also: Claude Code · Cursor · Codex

Then ask your AI: use the Quantum Kernel Estimator skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.

No other account needed.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Quantum Kernel EstimatorStart free

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/quantum-computing/skills/quantum-kernel-estimator/SKILL.md and read by Ahel’s review.

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

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

Tools/Libraries

Qiskit Machine Learning
PennyLane
scikit-learn
CVXPY
NumPy

Signals

GitHub stars: 2k
Forks: 113
Last commit: Sep 2026

Advanced

Item type: skill
Key: quantum-kernel-estimator
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter