Skip to content

GitLab

Explore

Sign in

Primary navigation

Project

C

Configuration Selection and Prioritization using QAOA
- Activity
- Members
- Labels
- Issues
- Issue boards
- Milestones
- Wiki
- Environments
- Terraform modules
- Incidents

Snippets Groups Projects

- Fraunhofer IAO QC
- SEQUOIA End-to-End
Configuration Selection and Prioritization using QAOA

C

Configuration Selection and Prioritization using QAOA

Project ID: 60927

Project information

This notebook illustrates using the Quantum Approximate Optimization Algorithm (QAOA) to find optimized configurations for feature models with attributed costs on a quantum computer.

11 Commits
1 Branch
0 Tags

README
Apache License 2.0

Created on

March 07, 2024

Select Git revision

0 results

configuration-selection-and-prioritization-using-qaoa

- Clone with SSH
- Clone with HTTPS
Open in your IDE
Download source code

Download source code

Copy SSH clone URLgit@gitlab.cc-asp.fraunhofer.de:fraunhofer_iao_qc/sequoia_end-to-end/configuration-selection-and-prioritization-using-qaoa.git
Copy HTTPS clone URLhttps://gitlab.cc-asp.fraunhofer.de/fraunhofer_iao_qc/sequoia_end-to-end/configuration-selection-and-prioritization-using-qaoa.git

authored

Name	Last commit	Last update

Datenschutz und Impressum