Superconducting Neuron Logic Gate With Adjustable Thresholds
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Solution Overview
Problem
Existing artificial neural network circuits face issues with large circuit area, high power consumption, and the need for synchronous operation, which limits their speed and compatibility with other logic gates.
Innovation Solution
A logic gate with a neuron circuit that uses a superconductor structure to convert parallel signals into serial signals, adjust threshold values, and operate independently of synchronous signals, minimizing power consumption and circuit area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If semiconductor-based neuron circuits are used, then the circuit can be integrated with standard logic gates, but the circuit area becomes large and power consumption increases
Solution Approach 1:
The patent replaces semiconductor-based neuron circuits with superconducting neuron circuits. The superconducting circuit uses Josephson junctions and superconducting inductors to implement neural network functions, substituting the semiconductor mechanical/electrical system with a superconducting system that operates with zero resistance and lower power consumption, thereby reducing circuit area while maintaining compatibility with standard logic gates
Solution Approach 2:
The patent changes the operating parameters by using superconducting materials with zero electrical resistance and critical current characteristics. The neuron circuit operates based on superconducting quantum interference effects and Josephson tunneling, fundamentally changing the electrical parameters from semiconductor regime to superconducting regime, enabling smaller circuit area and lower power consumption while maintaining logic gate compatibility
2Adaptability or versatility
If semiconductor-based neuron circuits are used, then the circuit can be integrated with standard logic gates, but power consumption becomes high
Solution Approach 1:
The patent replaces semiconductor-based neuron circuits with superconducting neuron circuits. The superconducting circuit uses Josephson junctions and superconducting inductors to implement neural network functions, substituting the semiconductor mechanical/electrical system with a superconducting system that operates with zero resistance and lower power consumption, thereby reducing circuit area while maintaining compatibility with standard logic gates
Solution Approach 2:
The patent changes the operating parameters by using superconducting materials with zero electrical resistance and critical current characteristics. The neuron circuit operates based on superconducting quantum interference effects and Josephson tunneling, fundamentally changing the electrical parameters from semiconductor regime to superconducting regime, enabling smaller circuit area and lower power consumption while maintaining logic gate compatibility
3Stability of the object's composition
If synchronous operation is required for logic gates, then the operation can be coordinated, but the operation speed decreases
Solution Approach 1:
The patent eliminates the need for synchronous periodic operation by designing the superconducting neuron circuit to process signals asynchronously. The circuit uses superconducting inductors to store magnetic energy and Josephson junctions to generate output signals based on accumulated input signals, allowing continuous operation without periodic clock synchronization, thereby increasing operation speed while maintaining coordination through the inherent superconducting circuit dynamics
4Productivity
If parallel signals are processed directly, then the processing capacity is high, but the circuit complexity increases
Solution Approach 1:
The patent merges multiple parallel input signals into a single processing path using superconducting inductors that accumulate magnetic flux from all inputs. The superconducting neuron circuit combines multiple input signals through flux summation in the inductor, then processes them through a single Josephson junction output stage, maintaining high processing capacity while reducing circuit complexity by consolidating the signal path
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 solution enables faster and more efficient operation of logic gates by reducing power consumption and circuit size, allowing for integration with standard logic gates without the need for synchronous operation.
Implementation Method 1
A logic gate with a neuron circuit that uses a superconductor structure to convert parallel signals into serial signals
Implementation Method 2
the neuron circuit, receives the signal coming from the merger through the input signal, absorbs said signal according to the threshold value or provides the output of the signal through the output signal
Data Source
AI summary
A logic gate with a neuron circuit which is used in electronic logic circuits, enables the arithmetic inputs to give output signal over the threshold value depending on a set threshold value according to the used AND, OR and MAJORITY logic gates, and enables to realize the logic processes by adjusting the triggering threshold value.