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GLOSSARY · Q

What Is Quantum Machine Learning?

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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