20240011763. QUANTUM SENSOR AND SYNXAPPS ARRAY simplified abstract (Unknown Organization)
Contents
QUANTUM SENSOR AND SYNXAPPS ARRAY
Organization Name
Inventor(s)
Demond Adams of Tamarac FL (US)
QUANTUM SENSOR AND SYNXAPPS ARRAY - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240011763 titled 'QUANTUM SENSOR AND SYNXAPPS ARRAY
Simplified Explanation
The abstract of the patent application describes quantum sensors as metric devices that can convert analog signal diagnostics into quantized electrical impulses for data processing. Unlike other sensors, quantum sensors can organize multiple multi-dimensional wavelength frequencies into a dense volumetric wavelength of q-bit tomography information. This device functions as a time invariant, vector stabilized, and dimensionally independent signal filter for data capture and processing. It also reduces ambient noise and signal compression interferences in signal spectroscopy analyzers.
- Quantum sensors are metric devices capable of converting analog signal diagnostics into quantized electrical impulses for data processing capabilities.
- Unlike other sensors, quantum sensors can organize multiple multi-dimensional wavelength frequencies into a dense volumetric wavelength of q-bit tomography information.
- Quantum sensors function as time invariant, vector stabilized, and dimensionally independent signal filters for data capture and processing.
- The extraction of a dimensional power wavelet function reduces ambient noise and signal compression interferences in signal spectroscopy analyzers.
- The device utilizes a "twerk," which is a transformation of a renormalized and quantized volumetric field gradient, detected by the q-factor of a resonant flux capacitor, inductor, and semi-resistor circuit.
- Quantum sensors can simulate holographic representations of captured multi-dimensional data per discrete temporal amplitude, frequency modulation, or power wavelet interval function(s) into a synxapps array of combinatoric data permutations.
Potential Applications of this Technology:
- Quantum sensors can be used in high-definition cameras, thermometers, microphones, and seismic sensors to enhance their data processing capabilities.
- They can be utilized in signal spectroscopy analyzers to reduce ambient noise and signal compression interferences.
- Quantum sensors can be applied in various scientific and industrial fields where precise and accurate data capture and processing are required.
Problems Solved by this Technology:
- Quantum sensors address the issue of converting analog signal diagnostics into quantized electrical impulses for more efficient data processing.
- They help reduce ambient noise and signal compression interferences in signal spectroscopy analyzers, improving the accuracy of data analysis.
Benefits of this Technology:
- Quantum sensors provide enhanced data processing capabilities by organizing multiple multi-dimensional wavelength frequencies into a dense volumetric wavelength of q-bit tomography information.
- They function as time invariant, vector stabilized, and dimensionally independent signal filters, improving the quality of data capture and processing.
- The extraction of a dimensional power wavelet function reduces ambient noise and signal compression interferences, leading to more accurate signal spectroscopy analysis.
Original Abstract Submitted
similar to high-definition cameras, thermometers, microphones, and seismic sensors, quantum sensors are metric devices capable of converting analog signal diagnostics into quantized electrical impulses for data processing capabilities. however, unlike discrete bandwidth sensors digitally renormalized into frequency or temporal bit dependent amplitudes, quantum sensors can organize multiple multi-dimensional wavelength frequencies into a dense volumetric wavelength of q-bit tomography information renormalized by its integration of a desired power wavelet function. this device functions as a time invariant, vector stabilized, and dimensionally independent signal filter for data capture and processing capabilities. additionally, the extraction of a dimensional power wavelet function reduces ambient noise to signal compression interferences in signal spectroscopy analyzers. in this device a “twerk”, or transformation of a renormalized and quantized volumetric field gradient, is constructed as an anamorphic power density phase distribution detected by the q-factor of a resonant flux capacitor, inductor, and semi-resistor circuit. similar to layered rbg filter composites, quantum sensors can simulate holographic representations of any captured multi-dimensional data per discrete temporal amplitude, frequency modulation, or power wavelet interval function(s) into a synxapps array of combinatoric data permutations.
