---
name: quantum-kernel-estimator-777abf1104b2
description: Quantum kernel computation skill for quantum machine learning
allowed-tools:
  - Bash
  - Read
  - Write
  - Edit
  - Glob
  - Grep
metadata:
  specialization: quantum-computing
  domain: science
  category: quantum-ml
  phase: 6
graph:
  domains: [domain:quantum-computing]
  specializations: [specialization:quantum-computing]
  skillAreas: [skill-area:mathematical-reasoning, skill-area:machine-learning-frameworks, skill-area:statistical-analysis]
  workflows: [workflow:experiment-design]
  roles: [role:research-scientist, role:ml-engineer]
---

# 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


---
Source attribution: a5c-ai
Original project: https://github.com/a5c-ai/babysitter/blob/feb68abe397acc14f32b34984975c48fedba2b33/library/specializations/domains/science/quantum-computing/skills/quantum-kernel-estimator/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

# MIT License

Copyright (c) 2025 A5C AI

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: a5c-ai
Original project: https://github.com/a5c-ai/babysitter/blob/feb68abe397acc14f32b34984975c48fedba2b33/library/specializations/domains/science/quantum-computing/skills/quantum-kernel-estimator/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Development & Engineering, Education & Research
Roles: Data Scientist, ML / AI Engineer, Researcher
Specialties: Specialty not specified
Tools: Cvxpy, Numpy, Pennylane, Scikit Learn, Qiskit Machine Learning
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 67382c53f6e5f9df8b5efb46db5509428349b4690de46e2ba68e6421813014d9