Quantum Computing as a Service- Cloud-based and automized QML Solu
summary
AutoQML integrates quantum models into AutoML pipelines, targeting quantum kernel methods and quantum neural networks for small, industrial datasets and exploring quantum-accelerated genetic algorithms for pipeline and hyperparameter optimization. The project runs from early 2022 to end of 2024, develops four industrial use cases (machine‑tool causal analysis, laser‑cut image recognition, plant‑model database recreation, and used‑excavator price regression), and delivers cloud deployment via the Planck ecosystem, which is in closed beta and will host, monetize and distribute these services as a marketplace.
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chapters (10)
- 0:00Intro
- 1:04Welcome
- 4:08Industry partners
- 5:08AutoML framework
- 6:18Quantum Machine Learning
- 8:43Summary
- 9:47Planck
- 13:18Planck consortium
- 14:01QML as a service
- 17:11QML Survey
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