The embodiment of this invention relates to the field of electronics, and more specifically, to the field of signal detection and processing.
As electronic circuits miniaturize beyond angstrom scales, high frequency current and inductive charge ratios increase noise interferences proportionately. Increases in charged flux mitigates electromagnetic noise interferences throughout signal processing circuits. Quantum inductive disturbances and parasitic capacitive charge fields are boosted by transistor gate switching near micro components and the incompatible cross talk of wireless broadcast signals. Furthermore, upsurges in gradient thermal radiation may interfere with circuit operation. These noise distorted properties incrementally produce errors in quantized data processing. To achieve accurate quantum computational processing without noisy signal interference, circuits must integrate a controlled current flow of input data without flawed or external noise interference during circuit operation.
Digital computer processing technologies compress multi-dimensional analog wave functions into a discrete one-dimensional series of amplitude bit information ordered by a temporal clocking device as input data. This compression technique references the congruent characteristics of an entire multi-dimensional wave function into a converted energy amplitude modulation. Power and frequency distributions of an analog wave function may combine to represent amplitude modulations, but during digital conversion, these discreate signals are indiscriminately merged into a one-dimensional stream of continuous bit information. Artificial noise aliasing may occur as a result of this data compression technique. Post data processing protocols are often employed to remove ambient noise below a desired threshold. Unfortunately, while removing unintended ambient noise, this technique also indiscriminately removes crucial wave function information.
Sensitive quantum computing processors require noise reduction circuitry. Analog to Digital signal conversion protocols and Fourier transformation techniques, implementing spectral analysis from sensor devices, are used to compress and remove noise interferences in input data. Quantum processors can perform multi-wavefunction data processing by sorting bit data into a multi-dimensional array of temporally distributed volumetric Q-bits. Q-bit analog compression data may represent a block of information indiscriminate from combinatoric ambient noise. Quantum input sensors must simultaneously detect and decode analog signals into a sparse array of discrete dimensional frequencies. During data processing, a Q-bit of data may represent a quantized wave function to be filtered by a correlating power wavelet function. To achieve these capabilities input devices such as quantum sensors must simultaneously perform time interval spectral analysis on multiple multi-dimensional power wavelet functions. Sorting static wave functions, using dimensional analysis from quantized input sensors, is an effective method of extracting random artificial ambient noise and discrete frequency interferences into combinatoric wavelet functions renormalized by convolutional multi-dimensional fluctuation permutations.
The embodiment presented provides a Quantum Sensor and SynXapps array, comprised of a Synchronized Inductor with a Normalized Capacitor (SINC) component, Reactive Inductor, Charge Capacitor, and Single Non-linear Anisotropic/Isotropic Lens (SNAIL), designed to limit the input interference of noise in a parasitic capacitive circuit and reduce inductive impulse spiking by applying quantized resonant frequencies dimensionally during signal detection and processing.
To liberate the quantization of a multi-dimensional power band in an analog signal, the regularized phase-shift of a multiplexed multi-dimensional frequency array must preserve its amplitude modulation by renormalizing the invariant current in a temporally and spatially conserved system. The proposed quantum sensor is designed to reduce ambient electromagnetic and thermodynamic field interferences of a Q-factor circuit while preserving signal integrity throughout the components described.
The described Quantum Sensor is comprised of two primary components stabilizing data into a semi-resistive quantum flux capacitor (SYNXAPPS ARRAY); a Synchronized Inductor and Normalized Capacitor (SINC) and a Single Nonlinear Anisotropic/Isotropic Lens (SNAIL). The SINC component stabilizes a quantized convolution capture of volumetric data relative the gradient lateral vector displacement of the device. The SNAIL component correlates a quantized convolution capture of volumetric data relative the gradient rotational curvature of the device. Finally, the semi-resistive quantum flux component (SYNXAPPS ARRAY) transforms every gradient amplitude signal by its dimensional vertex, linear, and/or field intensities of a volumetric convolutional power wavelet for data processing and wave function spectroscopy.
The SINC component transfers power density wavelet signals from/into an inductive core partially affixed to the base of a concaved SYNXAPPS ARRAY and is allowed to modify its power intensity by its linear translation near the approximation of its unfastened portion inserted thru a charged toroidal ring displaced away from the concaved SYNXAPPS ARRAY near the unfastened portion. As the device modifies its translation due to momentum the partially affixed inductive core modifies its translation near the SYNXAPPS ARRAY and the conductive ring modifying the intensity of power flux in a particular geometric capacitive region within the device. Trace leads of a convoluted capacitor region of semi-resistive photo-sensitive materials transfers this inductive reactance of current proportionally metering its translational movements.
The SNAIL component translates power density signals from a distributed field array thru a filtered semi-translucent geometric lens onto the semi-resistant quantum surface of the SYNXAPPS ARRAY. If the angular momentum of the power density signal translates a divergence relative the device, a conical augmented lens with a perforated geometric pattern will modify the gradient vector translation as a reactive power phase towards a correlating region. Trace leads within the semi-resistive photo-sensitive surface area can detect electromagnetic and quantum flux varieties into geometric regions.
The SYNXAPPS ARRAY is comprised of a semi-resistive quantum material with trace leads displaced throughout the concave cavity region. These trace leads are arranged to detect geometrically gradient flux disturbances in a Cartesian and Euclidean geometric field arrangement. A charged toroidal ring enveloped within a suspended transparent membrane is allowed to fluctuate according to a 2-dimensional column of vibrating air pressure within the device near the convoluted surface area of the semi-resistive quantum leads. Photon and thermal phase energy are permitted to discretely modify the flux capacitance of the semi-resistive quantum leads according to the 1-dimensional intensity of its photon energy. Furthermore, the self-induced volume of semi-resistive quantum trace leads are geometrically arranged to detect external electromagnetic flux disturbances.
Number | Date | Country | |
---|---|---|---|
63367643 | Jul 2022 | US |