Quantum Machine Learning in Practice - Rimay Feature Extraction on Real Quantum Hardware
Автор: Kipu Quantum
Загружено: 2026-02-17
Просмотров: 8
Описание:
In this demo, we introduce Rimay Quantum Feature Extraction, Kipu Quantum’s new service for hybrid quantum-classical machine learning.
Machine learning teams often struggle to improve model performance when data is scarce, noisy, or imbalanced. Rimay enhances classical ML pipelines by adding a quantum feature extraction step that runs on real quantum hardware.
In this video, you will see:
• How Rimay integrates into existing ML workflows
• How classical features are transformed into quantum features
• A real-life drug discovery example using SMILES molecular input
• A direct comparison between classical and quantum-enhanced predictions
• How quantum feature extraction improves predictive confidence
Rimay operates on IBM quantum processors and is available through the Kipu Quantum Hub.
If you are exploring:
• Quantum machine learning
• Hybrid quantum-classical ML
• Quantum computing for drug discovery
• Feature engineering for small datasets
• Real-world quantum ML applications
this demo shows how quantum feature extraction can be applied today.
Learn more or request access to Rimay:
https://hubspot.kipu-quantum.com/rimay
Повторяем попытку...
Доступные форматы для скачивания:
Скачать видео
-
Информация по загрузке:
