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