{"repo":"straightchlorine/quantum-pipeline","free":true,"listed":false,"github":"https://github.com/straightchlorine/quantum-pipeline","clone":"git clone https://github.com/straightchlorine/quantum-pipeline.git","description":"A Python module for executing and monitoring quantum algorithms across local simulators and IBM Quantum platforms. Seamlessly handles data collection, organization, and streaming to Apache Kafka.","language":"Python","stars":11,"topics":["apache-kafka","ibm-cloud","qiskit","quantum-computing","docker","visualizations","vqe","aws-s3","minio","cuda"],"license":"MIT","category":"deployment-docker-iac","readme_excerpt":"Repository: GitHub (primary) · Codeberg (mirror) Documentation · Quick Start · Examples --- A framework for running quantum algorithms, with optional Kafka streaming, Spark processing, and Airflow orchestration. Currently implements the Variational Quantum Eigensolver (VQE) for ground-state energy estimation. Built as a Bachelor of Engineering thesis project and continued as a Master of Engineering thesis project. Quick Start Or with Docker: See the installation guide for detailed setup, including GPU acceleration and full platform deployment. Features Quantum Computing - VQE execution with multiple optimizers (L-BFGS-B, COBYLA, SLSQP, and others), configurable ansatz circuits (EfficientSU2, RealAmplitudes, ExcitationPreserving), parameter initialization strategies (random or Hartree-Fock based), multiple basis sets (sto-3g, 6-31g, cc-pVDZ), and GPU acceleration via CUDA. Learn more Data Platform - Kafka streaming with Avro serialization, Spark-based ML feature engineering, Airflow workflow orchestration. Architecture overview ML Pipeline - Work in progress: convergence prediction and energy estimation models trained on VQE experiment data. Includes dedicated Docker Compose stack for this purpose. Monitoring - Prometheus metrics export, Grafana dashboard and resource tracking. Configurable via environment variables or CLI flags. Monitoring setup Deployment - Docker images for CPU and GPU ( quantum-pipeline:cpu , quantum-pipeline:gpu ). The GPU image on Docker Hub is built for","default_branch":null,"files":null,"tree":[],"storefront":"/r/straightchlorine","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/straightchlorine/quantum-pipeline/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}