Optical Matrix Multiplication Using Wavelength-Parallel Computing
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Solution Overview
Problem
The increasing computational demands and power consumption associated with proof of work in cryptocurrencies are reaching the limits of traditional computing speeds and power consumption.
Innovation Solution
An optical matrix calculation system utilizing a first light source, optical modulator, optical matrix multiplier, photodetector, and asynchronous feedback circuit to perform matrix calculations with minimal electrical consumption, enabling simultaneous and parallel processing using multiple wavelengths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If traditional digital computing methods are used for proof of work calculations, then computational speed can be maintained at current levels, but electrical power consumption increases to unsustainable levels
Solution Approach 1:
The patent replaces traditional electronic computing systems with optical computing systems that use light instead of electrical signals for matrix multiplication operations. This substitution fundamentally changes the physical domain from electrical to optical, enabling massive parallel processing with minimal electrical power consumption while maintaining high computational throughput for cryptographic operations
Solution Approach 2:
The patent introduces wavelength multiplexing to add a spectral dimension to optical processing. By using multiple wavelengths simultaneously, the system performs parallel matrix multiplications across different wavelength channels, dramatically increasing computational capacity without proportionally increasing power consumption
2Productivity
If computational speed is increased to meet growing cryptocurrency demands, then processing capacity improves, but power consumption reaches physical limits
Solution Approach 1:
The patent segments the computational task into multiple independent wavelength channels, each handling a portion of the matrix multiplication. This segmentation allows parallel processing across wavelengths while distributing the computational load, achieving high overall throughput without concentrating excessive power demand in a single processing unit
Solution Approach 2:
The optical matrix multiplier is designed to perform multiple matrix multiplication operations simultaneously across different wavelength channels. This multi-functionality allows a single optical device to handle diverse computational tasks in parallel, maximizing productivity while keeping power consumption proportional to the physical optical components rather than electrical processing demands
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
Optical matrix calculations reduce electrical consumption by orders of magnitude compared to digital methods, facilitating efficient and secure cryptographic operations such as cryptographic hash functions and Proof of Work calculations.
Implementation Method 1
at least a first photodetector located down beam from the at least an optical matrix multiplier configured to measure the first matrix multiplication output and generate a first electrical multiplication output signal as a function of the first matrix multiplication output
Data Source
AI summary
Aspects relate to methods and systems for optical matrix calculation. An exemplary system includes at least a first light source configured to output at least a first optical output having a first wavelength, at least a second light source configured to output at least a second optical output having a second wavelength substantially different from the first wavelength, at least an optical modulator configured to modulate the at least a first optical output, at least an optical matrix multiplier configured to perform at least two matrix multiplications, a first matrix multiplication as a function of the first optical output and a second matrix multiplication as a function of the second optical output, and at least a photodetector configured to measure the at least a first optical output and the at least a second optical output.