Repositories list

• workflow-modeler

  Public
  Modeler for quantum workflows

  JavaScript

  •

  Apache License 2.0

  •5•4•3•0•Updated Oct 28, 2024Oct 28, 2024

• planqk-demo-tutorial

  Public
  Python

  •0•0•0•0•Updated Sep 30, 2024Sep 30, 2024

• planqk-demo-starter-nuxt

  Public
  Vue

  •0•0•0•0•Updated Jun 19, 2024Jun 19, 2024

• planqk-demo-starter-gradio

  Public
  Python

  •1•0•0•0•Updated Jun 19, 2024Jun 19, 2024

• planqk-platform-docs

  Public archive
  PlanQK Platform Documentation

  JavaScript

  •4•1•0•0•Updated Jun 18, 2024Jun 18, 2024

• planqk-platform-samples

  Public archive
  PlanQK Platform Sample Repository

  Jupyter Notebook

  •

  Apache License 2.0

  •2•0•0•0•Updated Jun 18, 2024Jun 18, 2024

• planqk-quantum

  Public archive
  Python library for the PlanQK Platform

  python3qiskitplanqk

  Python

  •

  Apache License 2.0

  •1•2•0•0•Updated Jun 17, 2024Jun 17, 2024

• planqk-cli-serve

  Public archive
  Python

  •

  Apache License 2.0

  •0•0•0•0•Updated Jun 17, 2024Jun 17, 2024

• planqk-cli

  Public archive
  PlanQK CLI

  TypeScript

  •

  Apache License 2.0

  •1•0•0•0•Updated Jun 17, 2024Jun 17, 2024

• pyplanqk

  Public
  A python package to interact with the PlanQK platform.

  Python

  •

  Apache License 2.0

  •0•2•0•0•Updated Apr 2, 2024Apr 2, 2024

• gh-action-deploy

  Public
  Shell

  •

  Apache License 2.0

  •0•0•0•0•Updated Feb 14, 2024Feb 14, 2024

• planqk-buildpacks

  Public
  PlanQK's buildpacks

  Shell

  •0•0•0•0•Updated Feb 13, 2024Feb 13, 2024

• planqk-example-cicd

  Public
  Python

  •

  Apache License 2.0

  •0•0•0•0•Updated Feb 8, 2024Feb 8, 2024

• QBM

  Public
  Python

  •

  Apache License 2.0

  •0•1•0•0•Updated Dec 6, 2023Dec 6, 2023

• TrainableQuantumConvolution

  Public
  Trainable convolution for quantum-classical hybrid algorithms

  quantum-computingneural-networksconvolution+ 2quantum-machine-learningpennylane

  Jupyter Notebook

  •

  GNU General Public License v3.0

  •7•11•1•1•Updated Jul 10, 2023Jul 10, 2023

• semantic-services

  Public
  Ontology and semantic services for the PlanQK platform.

  Other

  •1•1•0•0•Updated Jul 7, 2023Jul 7, 2023

• EnergyUnitCommitment

  Public
  A dockerized optimization app for the unit-commitment problems described in Pypsa.

  Python

  •

  Apache License 2.0

  •0•2•0•0•Updated Jun 5, 2023Jun 5, 2023

• yo-generator-planqk-service

  Public archive
  Generator for scaffolding new PlanQK services

  yeomanyeoman-generator

  JavaScript

  •

  Apache License 2.0

  •0•0•0•0•Updated Jan 19, 2023Jan 19, 2023

• service-usage-examples

  Public archive
  Repository for providing examples on how to communicate with services on the PlanQK platform from the outside.

  Jupyter Notebook

  •

  Apache License 2.0

  •0•0•0•0•Updated Dec 21, 2022Dec 21, 2022

• AnomalyDetectionWithGANs

  Public
  Python

  •1•1•0•0•Updated Dec 13, 2022Dec 13, 2022

• DocumentationCapacityOptimisation

  Public
  documentation for the capacity optimisation use case

  Creative Commons Zero v1.0 Universal

  •0•0•0•0•Updated Jul 29, 2022Jul 29, 2022

• planqk-platform

  Public archive
  PlanQK Platform Issue Repository

  0•3•8•0•Updated Jun 20, 2022Jun 20, 2022

• SimulatedQuantumAnnealing

  Public
  Fast Quantum Annealing solver in C++. Originally written by Bettina Heim and Mario Könz from ETH.

  C++

  •

  Apache License 2.0

  •1•2•1•0•Updated Jun 14, 2022Jun 14, 2022

• tosca-definitions-s1

  Public
  Java

  •0•0•0•0•Updated Jun 8, 2022Jun 8, 2022

• expert-platform-docker

  Public
  Docker Compose setup to run the PlanQK expert tools such as the NISQ Analayzer.

  Shell

  •

  Apache License 2.0

  •5•0•0•0•Updated Mar 1, 2022Mar 1, 2022

• variational-quanvolutional-neural-networks

  Public
  The official code repository for "Variational Quanvolutional Neural Networks with enhanced image encoding", https://arxiv.org/abs/2106.07327

  mnistquantum-computingquantum-classical

  Jupyter Notebook

  •4•10•0•0•Updated Jun 15, 2021Jun 15, 2021

• Routing

  Public
  Routing in a directed graph is executed on IBM quantum hardware and a local D-Wave simulator.

  Jupyter Notebook

  •1•0•0•0•Updated Jan 7, 2021Jan 7, 2021

• Minimal-Optimization-Example

  Public
  An optimization problem is executed on IBM's and D-Wave's quantum hardware and quantum simulators.

  Jupyter Notebook

  •1•1•0•0•Updated Jul 30, 2020Jul 30, 2020

• pyquest-docker

  Public
  Dockerfile

  •

  Apache License 2.0

  •0•0•0•0•Updated Jul 6, 2020Jul 6, 2020