DEFINITION
Quantum machine learning (QML) is a new area of research that looks at using quantum algorithms and computers to improve data processing, identify patterns and solve specific problems in machine learning. The research focuses on quantum-enhanced algorithms, quantum neural networks and quantum kernels.
Importance
- Expands the possibilities of advanced computing.
- Supports research into quantum-enhanced algorithms.
- Enables complex data processing.
Use cases
- Improving optimization.
- Experimental quantum neural networks.
- Easier pattern recognition.
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