Spherical Logic Gate Arrangement for High-Density Computation
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Solution Overview
Problem
Physical implementation of logic gates is constrained by the size and shape of inputs and outputs, leading to inefficient use of space, particularly in two-dimensional designs where triangular shapes are common, and in higher dimensions where spherical structures emerge, limiting computation density.
Innovation Solution
The design employs a spherical arrangement of logic gates where the input surface area is larger than the output surface area, allowing for a more efficient packing of computation elements by positioning inputs on the outer surface and outputs on the inner surface, enabling entropy transport and computation across layers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If logic gates are arranged in traditional two-dimensional triangular shapes, then the structure is simple to manufacture, but the computation density is low and space utilization is inefficient
Solution Approach 1:
The patent transitions from two-dimensional planar arrangements to three-dimensional spherical arrangements of logic gates. By stacking multiple layers of gates in a spherical configuration, the system achieves higher computation density while maintaining manufacturability through systematic layering and positioning of inputs/outputs on the sphere's surface.
Solution Approach 2:
The patent employs a spherical geometry for arranging logic gates, where inputs and outputs are positioned on the surface of the sphere. This curved arrangement optimizes space utilization and allows for efficient connectivity patterns that reduce the overall volume required for a given computation density compared to flat two-dimensional arrangements.
2Area of stationary object
If the computation unit is made much smaller than inputs and outputs, then the area requirement for computation is reduced, but the shape is constrained by the larger inputs and outputs
Solution Approach 1:
By moving to three-dimensional spherical arrangements, the patent decouples the shape constraints from the computation unit size. The spherical geometry allows small computation units to be densely packed in the interior volume while inputs and outputs are distributed on the external surface, eliminating the triangular shape constraint that arises in two-dimensional arrangements.
3Productivity
If logic gates are packed into smaller volumes, then computation density increases, but the arrangement becomes more complex
Solution Approach 1:
The patent divides the spherical computation system into multiple discrete layers, with each layer containing a specific arrangement of logic gates. This segmentation allows for systematic packing of computation elements while maintaining regular patterns that reduce arrangement complexity. Each layer can be independently designed and manufactured, then assembled into the complete spherical structure.
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
This approach enables a high-density computation in smaller volumes by optimizing the spatial arrangement of logic gates, allowing for increased input capacity and efficient entropy processing, suitable for both encoder and decoder architectures.
Implementation Method 1
Computation occurs as entropy transport from the outside surface, through layers, to an inside surface.
Data Source
AI summary
A natural result of the different quantities of inputs and outputs in computational elements such as logic gates is a triangular shape when embedded in a material. The duplication of this shape while reducing empty space produces a curved structure, which taken to its ultimate expression is spherical. The inputs of the gates create a surface which is larger than the surface created by the outputs. In its spherical expression the input surface is the outside surface of the sphere, while the output is an inside surface of this sphere. Computation occurs as entropy transport from the outside surface, through layers, to an inside surface.Current digital logic designs are often composed of two-input, one output designs. Several logic functions including NAND, NOR, AND, OR, XNOR, XOR are characterized by multiple inputs and one output. Other types of computational functions such as those of neurons and artificial neurons also may take multiple inputs and fewer or singular outputs. Of these types of computation methods, the quantity of inputs is larger than the quantity of outputs.Implementation of logic gates in silicon by creating electronic transistors is constrained by the production process, by the material qualities of silicon, and by the shape of the input-output structure. Implementation of types of logic gates which operate on an optical basis, or chemical, momentum, entropy or other method, may vary in their material constraints but the constraints posed by input and output node size remain.It can then be posed that a fundamental constraint in the design of physical computation architectures is the quantity of inputs and outputs, and their structure.A design for a Computation System Using a Spherical Arrangement of Gates is submitted in this disclosure. For a logic gate structure which has a quantity of inputs, and an output, it is specified that the inputs are of the same physical size, and this size is to be the minimum possible size for the material and structure in which the gate is embodied.It is specified that the output is of the same size as an inputs in this design, and this size is the minimum possible using the chosen materials of construction.The quantity of inputs is higher than the quantity of outputs, while the size of each input is equal, and the size of an individual input is equal to the size of an output. A design which features two inputs is specified, the size of the inputs is approximately twice as large as the output. The following relationship is specified for a two-input, one output gate: the input surface area is twice that of the output surface area. Let this relationship be the assumption upon which we base subsequent disclosure.For our logic gate, the inputs require more surface area than the output. We can label the gate G1 and its inputs as i1 and i2, and the output as o1. If we position i1 and i2 as closely as possible, they will require twice the surface area that o1 requires. If we position together the inputs of a gate in a physically proximal sequence G1i1, G1i2 for gate 1, input 1 and input 2 are physically as close as possible. An individual gate results which is a triangular shape.If we position together the inputs of several gates in a sequence G1i1, G1i2 G2i1, G2i2 G3Gi1, G3i2 the inputs for the three gates 1 2 and 3 are all physically as close as possible. The physical surface area required is 3 gates multiplied by 2 inputs=6 surface area units. If we position together the outputs of these gates in a sequence G1o1 G2o2 G3o3 the outputs of the three gates 1 2 and 3 require (3 gates each having 1 output) a total of 3 surface area units. The input surface is larger than the output surface.A sequence of gates gathered as closely as possible in space forms a shape which is longer on one side (the input side) than it is on the other (the output side).If the pattern is continued, a circle is formed. Concentric circles of gates are to be arranged, with the output of gates on the outer circles being near the input of gates on the inner circles.By linking the output of a gate to the input(s) of other gates, logic can be performed by chains of gates, by selectively controlling the energy transmitted through individual links that span between outputs and inputs we can modify the logic process to produce different final outputs from initial inputs as desired. In the terminology of artificial neural networks, we can call the links weighted, and the logic gate can function as an artificial neuron's transfer function, and so the gate may behave as an artificial neuron.We can implement the concentric rings of gates in the transverse dimension to obtain concentric spheres, while leaving a passage open through the sphere so that final outputs at the center can be accessed from outside.The complete design is so disclosed, having a multitude of inputs which occupy the outside surface of a sphere, inside of which concentric spherical layers of gates are connected by weighted links, with the center of the sphere containing the final outputs of the logical process carried out by chains of gates arranged in concentric spheres. The total number of concentric spheres may vary as a computation process requires and constrained by material requirements.