20240054377. PERTURBATION RF SIGNAL GENERATOR INCORPORATING QUANTUM COMPUTING WITH GAME THEORETIC OPTIMIZATION AND RELATED METHODS simplified abstract (EAGLE TECHNOLOGY, LLC)
PERTURBATION RF SIGNAL GENERATOR INCORPORATING QUANTUM COMPUTING WITH GAME THEORETIC OPTIMIZATION AND RELATED METHODS
Organization Name
Inventor(s)
MARK D. Rahmes of MELBOURNE FL (US)
DANIEL Garcia of WEST MELBOURNE FL (US)
MICHAEL C. Garrett of MELBOURNE FL (US)
PERTURBATION RF SIGNAL GENERATOR INCORPORATING QUANTUM COMPUTING WITH GAME THEORETIC OPTIMIZATION AND RELATED METHODS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240054377 titled 'PERTURBATION RF SIGNAL GENERATOR INCORPORATING QUANTUM COMPUTING WITH GAME THEORETIC OPTIMIZATION AND RELATED METHODS
Simplified Explanation
The patent application describes a perturbation radio frequency (RF) signal generator that generates a perturbed RF output signal to cause a signal classification change by an RF signal classifier. The generator includes a quantum computing circuit for quantum subset summing and a processor for generating a game theory reward matrix for different deep learning signal perturbation models.
- Quantum computing circuit for quantum subset summing
- Processor for generating game theory reward matrix for deep learning signal perturbation models
- Selection of deep learning signal perturbation model based on quantum subset summing of reward matrix
- Generation of perturbed RF output signal to cause signal classification change
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- Potential Applications
- Signal classification in RF signal classifiers
- Improving signal processing in communication systems
- Enhancing security systems by changing signal classifications
- Problems Solved
- Enhancing signal classification accuracy
- Improving signal processing efficiency
- Adapting signal perturbations for different scenarios
- Benefits
- Increased accuracy in signal classification
- Enhanced security measures in communication systems
- Improved efficiency in signal processing operations
Original Abstract Submitted
a perturbation radio frequency (rf) signal generator is provided which generates a perturbed rf output signal to cause a signal classification change by an rf signal classifier. the perturbation rf signal generator may include a quantum computing circuit configured to perform quantum subset summing; and a processor. the processor may be configured to generate a game theory reward matrix for a plurality of different deep learning signal perturbation models, cooperate with the quantum computing circuit to perform quantum subset summing of the game theory reward matrix, select a deep learning signal perturbation model from the plurality thereof based upon the quantum subset summing of the game theory reward matrix, and generate the perturbed rf output signal based upon the selected deep learning signal perturbation model to cause the signal classification change in the rf signal classifier.
