Superconducting Neuron Circuit With Magnetic Threshold Coupling
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Solution Overview
Problem
Current artificial neural networks, particularly those based on semiconductors, face issues with slow operation and high power consumption, and are unable to integrate effectively with other logic gates or produce signals compatible with standard gates, limiting their processing power and practicality.
Innovation Solution
A superconducting neuron circuit with a decaying loop and threshold loop, coupled magnetically via a decaying threshold coupling, allows for rapid signal processing and output adjustment, enabling compatibility with standard logic gates and reduced power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If semiconductor-based neuron circuits are used, then the circuit can be manufactured with current technology, but the operation speed is slow and power consumption is high
Solution Approach 1:
The patent changes the fundamental material parameter from semiconductor to superconducting material, which fundamentally alters the electrical resistance parameter from finite to near-zero, enabling both high-speed operation and low power consumption simultaneously
Solution Approach 2:
The patent replaces the semiconductor-based electronic system with a superconducting system that operates on different physical principles, substituting the conventional electronic mechanism with a superconducting mechanism that enables faster signal transmission and lower energy dissipation
2Productivity
If semiconductor neuron circuits are used, then the circuit can process signals, but the circuit size is large making integration impractical
Solution Approach 1:
By changing the material parameter to superconducting material, the circuit achieves higher processing power density, allowing more functionality to be integrated into a smaller area while maintaining or enhancing processing capabilities
3Adaptability or versatility
If semiconductor neuron circuits are used, then the circuit can operate independently, but it cannot integrate effectively with other logic gates or produce compatible signals
Solution Approach 1:
The superconducting neuron circuit is designed with universal signal characteristics that enable it to function both as a standalone neuron and as an integrated component with standard logic gates, achieving multi-functionality and broad compatibility
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The superconducting neuron circuit achieves faster signal transmission with lower power consumption, integrating seamlessly with other circuits and standard logic gates, overcoming the limitations of semiconductor-based systems.
Implementation Method 1
The threshold loop and the decaying loop provided in the neuron circuit are superconducting
Implementation Method 2
The decaying loop and the threshold loop are coupled to each other by means of magnetic interaction and via the decaying threshold coupling
Data Source
AI summary
Disclosed is a neuron circuit which electronically applies the working principle of the neurons in the human brain. The neuron circuit controls an input signal according to a set threshold value, and enables provision of an output signal above the threshold value.