Bit processing in multiple dimensions generated by multiple grouped external physical sources

Abstract

Disclosed is a multidimensional bit, resulting from a value processed within a blinking and / or intermittent cycle, wherein the sources and the types of sources determine the multiple dimensions, i.e. it is the status of the event that remains unchanged (the BIT), while, by selection, its absolute value will be equal to FD (multiple dimensions).

Description

[0001] MULTI-DIMENSIONAL BIT PROCESSING ORIGINATING FROM MULTIPLE GROUPED EXTERNAL PHYSICAL SOURCES

[0002] BRIEF DESCRIPTION OF THE INVENTION

[0003] The present invention relates to the processing of the multidimensional BIT performed within a cycle, blink or intermittency, where each value of the sources is interpreted against its type, at choice, expressing the result as an absolute value.

[0004] BACKGROUND OF THE INVENTION

[0005] In order to broaden the definition of BIT processing in multiple dimensions, we must first understand the conceptualization of a BIT, which is the simplest unit in a numerical system where it obtains two values, for example, in logic (Boolean algebra), these values ​​are false and true, or sometimes yes and no, or in arithmetic these are 0 and 1. A bit can represent both a logical alternative, expressed as false and true, as a "binary digit".

[0006] There are many ways and techniques to encode binary information: magnetic polarization, electrical charge, storage, electrical current, voltage, or light are commonly used for transmission; the main thing is to distinguish the two states with very high reliability to limit errors. The correspondence between each of the two states and a bit value is a matter of choice. A switch can be opened or closed to encode 0 or 1; the other state encodes the other value. The same applies to electrical voltage or current, magnetic polarization, or light being on or off. The amount of information actually transmitted is expressed in shannons and cannot exceed the size of the message in bits. Digital systems process only information reduced to bits, usually grouped into fixed-size units called bytes.To understand multidimensional bit processing, we can also compare it to the qubit, which uses the superposition phenomena of quantum mechanics to achieve a linear combination of two states. A classical binary bit can only represent a single binary value, such as 0 or 1, meaning it can only be in one of two possible states. However, a qubit can represent a 0, a 1, or any proportion of 0s and 1s in the superposition of both states, with a specific probability of being a 0 and a specific probability of being a 1.

[0007] Unlike the QUBIT, in our new form of BIT processing, the event state remains unchanged (the BIT), while, by choice, its value will be equal to F D(Multidimensional). The processing of a multidimensional bit should be visualized as processing within a cycle, blink, and / or intermittency. Through the combination of original source values, the type of which is the dimension, the result is the chosen absolute value. Its equality in one of the combinations performed defines the bit's value at that instant. The bit's value will always be the result of combining the original source with a chosen value, which must be considered the absolute value regardless of the source type.

[0008] DETAILED DESCRIPTION OF THE INVENTION

[0009] The bit, as a two-state element, is a constituent of the binary number system. This system, the most analytical of all number systems, since it breaks down numbers into indivisible elements, is the basis of almost all computer systems.

[0010] In this context, regarding the variables that can determine the value of the BIT, as can be seen in the table above, the BIT can be defined in a logical context, as well as having a digital value of 0 or 1. In the present invention, we can explain that the MULTI-DIMENSIONAL BIT PROCESSING is based on the state of an event that defines its absolute value by choice; that is, for example, the light being on = 1 and when it is off = 0. In our new conceptualization, novelty, and invention, the state of the event remains unchanged (the BIT), while, by choice, its value will be equal to F. D(multiple dimensions). The processing depends on the values ​​given by the original source(s), which, by choosing the types of sources (these being what define the dimensions), establish the quantities of identical sources that will form the combinations that will give the value to the BIT, unlike its binary conception which gives the value of 0 and 1, while the MULTIDIMENSIONAL BIT F D gives its value of 0 e °°.

[0011] The current problem lies in the limitations of binary bit processing, which, with only two selectable values, slows down computational processing. The quantum bit (qubit) requires a higher degree of complexity in its processing architecture and models for obtaining its value, increasing its processing cost and making it unaffordable for common use. Multidimensional bit processing can exponentially increase processing speeds compared to binary bits, which are built with a complex processing architecture, while still allowing integration into traditional technological equipment for common use. Multidimensional bit processing increases opportunities to develop and improve current technologies in traditional electronic equipment without drastic changes to its architecture; however, in some cases, it can lead to substantial reductions in physical densities.

[0012] The advantages of the present invention include increased data transmission speeds. For example, in fiber optics, information is transmitted by light pulses. With multidimensional bit processing, the increase depends on the wavelengths that make up the dimensions. Another advantage is the transmission of data over electrified or non-electrified cables, where electrical pulses are used. With the present invention, the pulses are selected based on their frequency amplitude, calibrated in prime numbers, and the voltage of the frequency signal. At the time of the clock cycle, we obtain a pulse (the bit) whose value is composed of its dimensions.It is worth noting that Multidimensional Bit Processing (MDP) can also be applied within processors and microcontrollers, at the memory level as well as at the level of their registers, or to any information storage unit, thus exponentially increasing capacities without increasing physical densities. The use and implementation of MDP in the registers of a processor or microcontroller and other logic circuits will allow for the management of a greater amount of information with the same current clock cycles. Adding MDP to existing components will allow for increased data volumes without increasing physical densities, without changing clock cycles, without increasing power consumption, and without requiring additional heat dissipation methods.In addition to the new storage possibilities, the volume of data that can be analyzed and managed per clock cycle is also multiplied without increasing speeds or the number of simultaneous processes.

[0013] In other words, MULTI-DIMENSIONAL BIT PROCESSING opens new avenues in the digital age by bringing a major evolution in the amount and speed of information processing.

[0014] BRIEF DESCRIPTION OF THE DRAWINGS

[0015] We have defined MULTI-DIMENSIONAL BIT PROCESSING as the value of the BIT, as an absolute result expressed by the choice of the original sources, with the types of sources determining the multiple dimensions. For a better representation, we proceed to demonstrate the concept graphically.

[0016] Figure 1.- Representation of several pulses from a one-dimensional source, applied to electrical energy.

[0017] For figure 1, the source is equal to the voltage with an absolute value by choice of 6 and the dimension is equal to 1, we develop: F D = 6 1 = 6 Figure 2.- Representation of several pulses from (3) sources of a single type (1 dimension), applied to electrical energy.

[0018] For figure 2, the 3 sources by choice are equal to 2v, 5v and 9v, giving as an absolute result 2, 5, 7, 9, 11, 14 and 16 (these are the component combinations of the three sources) and the dimension is equal to 1 (only one type of source), where the BIT is: F D = {2,5,9} 1 = (2,5,7,9,11 ,14,16)

[0019] The value of the BIT will always be the result of combining its original source.

[0020] The value of the BIT should be considered as an absolute value without determining the type of Source.

[0021] Figure 3.- Representation of several pulses from 5 sources of two types (2 dimensions), applied to electrical energy.

[0022]

[0023] For figure 3, the 5 sources by choice are equal to (2v, 5v, 9v) and (5A, 7A), giving as an absolute result, for example: (10, 35, 9, 132, 112...) (these are the component combinations of the three sources multiplied by the 2 sources in this case the voltage and the amperage) and the dimension is equal to 2 (2 types of sources), where the BIT is:

[0024] F D = {2,5,9} {5,7} < 1 2 > = (10, 35, 9, 132, 112, ...)

[0025] The preceding examples are not exhaustive and are intended solely to illustrate the concept of MULTIDIMENSIONAL BIT PROCESSING. The key takeaway is that the value of a BIT's results will depend on its various source types. There is no limit to the number of sources per type, nor to the number of types (dimensions) a single BIT can encompass. Similarly, the types do not have to be from a specific sector. It is quite possible to combine different, unrelated sources. An example of a multidimensional BIT that includes non-intrinsic sources such as energy represented in volts and amperage, and light represented in lumens and wavelength, is shown. Therefore, the BIT's value can be:

[0026]

[0027] F D = {2,5,9} {5,7} {430,850,970} {50,500, 1500} < 1 ' 2 ' 3 ' 4 ) = (10,752500,3825000,35, 132, 23280000, ...)

[0028] When the pulse alternates, depending on the combination of sources, we will have 1 state (BIT) with all possible combinations of values ​​from different sources and different types of origins.

[0029] The multidimensional possibilities are endless, so the BIT can assume a value defined by its components and dimensions.

[0030] EXAMPLES

[0031] EXAMPLE 1: TWO-DIMENSIONAL OPTICAL FIBER TRANSMISSION.

[0032] Today, massive data transmission is carried out using optical fiber due to its unique properties and qualities. As explained earlier, information is transmitted in cycles and / or pulses; however, in the case of optical fiber, instead of an electrical signal, a light source is used.

[0033] To summarize the operation, its simplest expression is this: if we want to send the information 101010, we turn the light on and off three times, allowing the receiver to easily decode the information. As explained earlier, in the current operation of optical fiber, if we want to increase the volume of data to be transmitted, we have to increase the frequency of the output transmission cycle. This is where the present invention allows us to transmit exponentially more information over the same transmission cycle using multidimensional bit technology. Currently, optical fiber uses the one-dimensional bit, employing light transmission using a laser or

[0034] Using this single dimension, we can send three distinct signals during the same cycle. We will add a second dimension to our source: the intensity of the wavelength. To keep it simple and understandable, we will transmit each wavelength at a specific intensity, for example, 2.5W (25%), 5.0W (50%), 7.5W (75%), and 10.0W (100%). The higher the values, the fewer misinterpretations we will have to manage.

[0035] F D = {630,532,465} {0,25,50,75, 100} < 1 ' 2 > = (15750,26600,34875,0, 109500, 122025...)

[0036] Of course, we can take more samples in both colors and intensities to increase the amount of information per cycle. We can also add other dimensions that will allow us to increase the quantities exponentially. Using the two dimensions explained above, we will now obtain 16 values ​​per transmission clock cycle in its combination of 3 colors (RGB) plus 5 intensities for each color, plus black.

[0037] By applying this new technical concept of MULTIDIMENSIONAL BIT, without changing the current transmission cycles, we can, using the previous scheme, multiply the current transfer rates by 125 times (5 intensities raised to the power of 3 RGB colors). At the receiver level, it is enough to filter the components to obtain only a stream like the current one and then decode it normally as if it were an isolated signal.

[0038] EXAMPLE 2: THE DIFFERENT SOURCES AND THEIR DIMENSIONS THAT CAN BE USED IN MULTIDIMENSIONAL BIT PROCESSING.

[0039] To apply MULTIDIMENSIONAL BIT processing, we can choose any of the following sources with their dimensions to obtain their value:

[0040] In the case of Electricity and Magnetism, with this being the source, we can choose any of the following dimensions: Electric field (E), Electric potential (V), Charge density (p), Magnetic field (B), Magnetic vector potential (A) and Current density (J).

[0041] In the case of Gravity, since this is the source, we can choose any of the following dimensions: Gravitational field (g) and Gravitational potential (cp).

[0042] In the case of Magnetism, this being the source, we can choose any of the following dimensions: Magnetic moment (m), Magnetic susceptibility (x) and Magnetic flux (<t>).

[0043] In the case of Waves and Radiation, with this being the source, we can choose any of the following dimensions: Electromagnetic field intensity (I) and acoustic intensity (I):

[0044] In the case of Thermodynamics, this being the source, we can choose any of the following dimensions: Temperature (T) and Heat Flow (q).

[0045] In the case of Fluid Mechanics, this being the source, we can choose any of the following dimensions: Fluid velocity (v) and Velocity gradient (du / dx, du / dy, du / dz).

[0046] In the case of Mechanics, where this is the source, we can choose any of the following dimensions: Tension (ε) and the Sphere of Curvature (K). In the case of Energy, where this is the source, we can choose any of the following dimensions: Kinetic Energy (K), Potential Energy (U), and Total Energy (E). In the case of Sound Sources, where this is the source, we can choose any of the following dimensions: Sound Intensity (I), Frequency (f), and Amplitude (A).

[0047] In the case of Optics, with this being the source, we can choose any of the following dimensions: Wavelength (λ), refractive index (n) and the angle of refraction (θ).< / t>

Claims

CLAIMS:

1. A multidimensional bit is useful for performing processing within a cycle, blink, or intermittency, where each source value is calculated against its type, expressing the result as an absolute value; 2. The multidimensional bit according to claim 1, wherein the different types of sources will determine the dimensions and the quantities of identical sources will form the combinations of its acquired value; 3. The multidimensional bit according to claim 1, wherein the absolute value of the event state that remains unchanged (the BIT) shall be equal to F D (multidimensional); 4. The multidimensional bit according to claim 1, for its processing in multiple dimensions, we can choose any of these sources: electricity, magnetism, gravity, waves, radiation, thermodynamics, fluid mechanics, mechanics, energy, sound sources and optics, together with the choice of their types, make up the dimensions.

Images