17522141. OPTIMIZE QUANTUM-ENHANCED FEATURE GENERATION simplified abstract (International Business Machines Corporation)

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OPTIMIZE QUANTUM-ENHANCED FEATURE GENERATION

Organization Name

International Business Machines Corporation

Inventor(s)

[[:Category:Frederik Frank Fl�ther of Schlieren (CH)|Frederik Frank Fl�ther of Schlieren (CH)]][[Category:Frederik Frank Fl�ther of Schlieren (CH)]]

Abhijit Mitra of The Woodlands TX (US)

OPTIMIZE QUANTUM-ENHANCED FEATURE GENERATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 17522141 titled 'OPTIMIZE QUANTUM-ENHANCED FEATURE GENERATION

Simplified Explanation

The patent application describes a system and methods for optimizing quantum-enhanced feature generation. Here are the key points:

  • The system includes a processor that executes computer executable components stored in memory.
  • The components include a selection component that chooses a quantum circuit for mapping classical features to a quantum feature space.
  • An execution component provides the selected quantum circuit for execution by a quantum computer or simulator to generate quantum-enhanced features.
  • A training component assesses the selection of quantum circuits and signals the selection component to choose a new circuit based on the assessment.

Potential applications of this technology:

  • Quantum-enhanced feature generation can be used in various fields such as machine learning, data analysis, and pattern recognition.
  • It can improve the efficiency and accuracy of feature mapping, leading to better performance in tasks like image recognition, natural language processing, and optimization problems.

Problems solved by this technology:

  • Traditional methods of feature generation may not fully utilize the capabilities of quantum computing.
  • This technology optimizes the selection of quantum circuits, ensuring efficient and effective mapping of classical features to quantum feature spaces.

Benefits of this technology:

  • Quantum-enhanced feature generation can provide significant improvements in computational power and speed.
  • It enables the utilization of quantum computing resources for feature mapping, leading to enhanced performance in various applications.
  • The optimization process ensures the selection of the most suitable quantum circuit for the given task, maximizing the benefits of quantum computing.


Original Abstract Submitted

Systems, computer-implemented methods, and computer program products to facilitate optimization of quantum-enhanced feature generation are provided. According to an embodiment, a system can comprise a processor that executes computer executable components stored in memory. The computer executable components comprise a selection component that selects a quantum circuit for mapping a set of classical features to a quantum feature space. The computer executable components further comprise an execution component that provides the quantum circuit for execution by a quantum computer or a quantum simulator to map the set of classical features and to produce quantum-enhanced features. The computer executable components further comprise a training component that assesses selection of quantum circuits and signals the selection component to select a new quantum circuit based on the assessment.

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