Chromatic Transient State Computing with Colored LEDs
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Solution Overview
Problem
Conventional binary computing devices face power and heat issues when scaled up, and quantum computing systems are costly, difficult to scale, and have detection challenges due to quantum mechanical effects.
Innovation Solution
A chromatic transient state computing system using sets of colored light emitting diodes (LEDs) and photoreceptors, where each distinguishable color represents a chromabit value, enabling multiple Boolean states and reducing power consumption by utilizing existing components like LEDs and photoreceptors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional binary computing devices are scaled up to increase computational capabilities, then computational capacity is improved, but power consumption and heat generation worsen
Solution Approach 1:
The patent replaces conventional electronic binary computing with an optical computing system that uses light-based transient states. The system substitutes electronic signal processing with optical field interactions, where light pulses represent computational states without requiring continuous power supply, thereby reducing power consumption while maintaining computational capacity.
Solution Approach 2:
The invention changes the fundamental parameter representation from binary electronic states to multi-state optical transient states. By utilizing different light intensities, durations, and temporal patterns of optical fields, the system encodes multiple computational states in a single optical channel, increasing computational capacity without proportional increases in power consumption.
2Productivity
If quantum computing systems are used to overcome binary computing limitations, then computational capacity is improved, but manufacturing cost and operational cost worsen
Solution Approach 1:
The patent employs readily available, inexpensive optical components such as light-emitting diodes (LEDs), photodetectors, and standard optical elements that can be manufactured using conventional techniques. These components are commercially available and do not require specialized quantum-grade fabrication processes, dramatically reducing manufacturing costs compared to quantum computing systems.
Solution Approach 2:
The optical computing system uses universal optical components that can be integrated with existing electronic and optical infrastructure. The same optical components can serve multiple functions including state representation, logic operations, and signal transmission, reducing the need for specialized expensive hardware while maintaining high computational capacity.
3Productivity
If quantum computing systems are used to overcome binary computing limitations, then computational capacity is improved, but system scalability worsens
Solution Approach 1:
The patent divides the computational system into modular optical units that can be independently configured and scaled. Each optical component or assembly can function as an independent computational element, allowing the system to be scaled by simply adding or removing modules rather than redesigning the entire system, thereby improving scalability.
Solution Approach 2:
The system transitions from two-dimensional electronic circuit scaling to multi-dimensional optical field manipulation. By utilizing temporal, spatial, and intensity dimensions of light, the system achieves high computational capacity without requiring proportional increases in physical component count or system complexity, enabling easier scaling.
4Productivity
If quantum computing systems are used to overcome binary computing limitations, then computational capacity is improved, but detection reliability worsens due to quantum mechanical effects
Solution Approach 1:
The patent uses optical fields as stable, measurable representations of computational states. Unlike quantum states that collapse upon measurement, optical states can be detected repeatedly without alteration. The system copies information into robust optical signals that maintain their state during detection, ensuring reliable state reading without the measurement problems inherent in quantum systems.
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 system provides low-cost, low-power, scalable computing solutions with increased computational capacity, surpassing conventional binary and quantum computing systems in efficiency and scalability.
Implementation Method 1
a plurality of sets of colored light emitting diodes (LEDs)
Implementation Method 2
a corresponding plurality of photoreceptors
Data Source
AI summary
Novel tools and techniques are provided for implementing computing, and, more particularly, to methods, systems, and apparatuses for implementing transient state computing with optics. In various embodiments, a chromatic transient state computing system might receive one or more input values and might assign a “chromabit value” to each of the one or more input values. The chromatic transient state computing system might include a plurality of sets of colored light emitting diodes (“LEDs”) and a corresponding set of photoreceptors. Each distinguishable color as detected by one of the photoreceptors might correspond to a combination of colors emitted by a set of colored LEDs, each distinguishable color representing a chromabit value. The chromatic transient state computing system might perform a computing operation using the assigned chromabit values each corresponding to each of the one or more input values, and might output one or more output values resulting from the computing operation.