Quantum Machine Learning
Definition
Connecting quantum methods and machine learning.
Quantum-based machine learning investigates how quantum computations can support learning methods or how learning methods can be applied to quantum systems.
Simply explained
A research field tries out different computing building blocks for learning tasks.
Why it matters in practice
It helps to classify new computing approaches without presupposing their practical usefulness.
Example from business
A hypothetical research team compares a quantum kernel with a classical method.
Limits and pitfalls
- A general advantage for ordinary enterprise data cannot be derived from this; hardware and data effort also count.
Origin & history
The field lies at the interface of quantum informatics and machine learning.
Use in mid-sized companies
- For typical SME tasks, first check reliable classical benchmark solutions.
Frequently asked questions
Is it automatically faster?
No, an advantage must be demonstrated for the specific task.
Sources
Editorially reviewed on: