Waveform Data Encoding for Optical and Quantum Computing
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Solution Overview
Problem
The existing binary number system used in digital communication is inefficient, requiring long strings of bits that consume substantial memory and time for processing, and can result in inaccuracies in representing numbers and mathematical operations.
Innovation Solution
A computer language and code that uses waveforms, specifically square waves or sine waves, to represent and communicate data and information, allowing for the use of photons and light in the visible and infrared spectrum to facilitate optical and quantum computing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the binary number system is used to represent and communicate data, then data can be stored and processed using conventional digital computers, but long strings of bits are required which consume substantial memory and processing time
Solution Approach 1:
The patent changes the fundamental parameter of data representation from binary digits (bits) to waveform characteristics (frequency, amplitude, phase). Each waveform encodes multiple bits of information simultaneously, reducing the quantity of data required for communication and decreasing processing time through parallel interpretation of multiple information units.
Solution Approach 2:
The patent transitions from one-dimensional binary representation (sequences of 0s and 1s) to multi-dimensional waveform representation using frequency, amplitude, and phase dimensions. This allows multiple information units to be encoded within a single communication unit, dramatically reducing data quantity and processing time.
2Productivity
If the binary number system is used to represent data, then data can be communicated using conventional digital methods, but the amount of data required for communication is substantial
Solution Approach 1:
The patent transforms data from binary sequences to waveform parameters (frequency, amplitude, phase), enabling each waveform to carry multiple information units simultaneously. This increases communication speed by reducing the total data quantity that must be transmitted.
Solution Approach 2:
The patent merges multiple information units into a single waveform representation. Instead of transmitting separate bits for each information unit, the patent combines them into integrated waveform parameters, reducing communication overhead and increasing productivity.
3Use of energy by moving object
If conventional digital communication methods are used, then data can be transmitted using electrical signals, but heat production and energy consumption are substantial
Solution Approach 1:
The patent changes the data representation from electrical binary signals to optical waveforms, utilizing the electromagnetic spectrum. This transition reduces energy consumption by leveraging the inherent properties of light for data transmission, requiring less energy per information unit transmitted.
Solution Approach 2:
The patent substitutes electrical signal processing with optical waveform manipulation. By replacing conventional electrical digital communication with optical methods, the system reduces heat production and energy consumption associated with electrical signal generation, transmission, and processing.
4Measurement precision
If the binary number system is used, then data can be represented and processed, but inaccuracies can occur in representing numbers and mathematical operations
Solution Approach 1:
The patent transitions from discrete binary representation to continuous waveform parameters (frequency, amplitude, phase), which can more accurately represent numerical values and mathematical relationships. This continuous representation reduces quantization errors and improves measurement precision in computational operations.
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 reduces the amount of data required for communication, potentially by 95%, leading to faster communication speeds, reduced heat production, and lower energy consumption, while also enabling more complex computations and faster processing speeds in optical and quantum computers.
Implementation Method 1
A computer language and code that uses waveforms, specifically square waves or sine waves, to represent and communicate data and information
Implementation Method 2
allowing for the use of photons and light in the visible and infrared spectrum to facilitate optical and quantum computing
Data Source
AI summary
The present disclosure relates to a computer language and code for software application development, data compression, and use with conventional, optical, hybrid electro-optical and quantum computers.