Optical Frequency Comb Signal Processing for High-Speed Data Mining
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Solution Overview
Problem
Current high-performance computing systems face challenges such as high heat generation, processing latencies, and limited flexibility due to dedicated vector processing, making them inefficient for handling large volumes of data and complex pattern recognition tasks.
Innovation Solution
An all-optical system utilizing stabilized optical frequency comb beams with independent, dynamically encoded frequency components and coherent interferometric detection methods for enhanced pattern recognition and data processing, achieving programmable computing with a small footprint and reduced energy requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional electronic computing systems are used for high-speed data processing, then processing capability can be achieved, but heat generation becomes excessive and power consumption increases
Solution Approach 1:
The patent replaces electronic computing systems with an all-optical computing system that uses light instead of electricity for data processing. This substitution eliminates the resistive heating problem inherent in electronic systems, as optical components do not generate the same level of waste heat during high-speed operations
Solution Approach 2:
The invention changes the fundamental operating parameter from electrical signals to optical signals. By using stabilized optical frequency combs with multiple coherent frequencies, the system achieves high-speed processing while operating in a different physical regime that does not suffer from electronic heat generation limitations
2Productivity
If dedicated vector processing and parallel machines are used, then processing speed improves, but processing flexibility deteriorates
Solution Approach 1:
The all-optical computing system provides universal processing capability through programmable optical circuits that can perform multiple functions including pattern recognition, signal processing, and data mining. The system uses configurable optical components that can be programmed to execute different algorithms, eliminating the need for dedicated hardware for each processing task
3Temperature
If optical computing is implemented, then heat generation is reduced, but programmability and translation speed from electric to optical data deteriorate
Solution Approach 1:
The patent introduces stabilized optical frequency combs as an intermediary between electrical data sources and optical processing. The frequency combs provide a structured set of coherent optical frequencies that can be directly modulated with electrical data signals, enabling efficient electro-optic translation without the slow conversion processes that previously limited optical computing
Solution Approach 2:
The system employs dynamically controllable optical components including tunable filters, modulators, and switches that can be reconfigured in real-time. This dynamic programmability allows the optical system to adapt to different processing tasks while maintaining high-speed operation and low heat generation
4Productivity
If data is transmitted between computing components, then processing can be performed, but latency increases due to resistance in metal conductors
Solution Approach 1:
The patent replaces electrical signal transmission through metal conductors with optical signal transmission through optical waveguides or free-space optical paths. This substitution eliminates the resistance-induced latency problem, as light propagation in optical media is significantly faster and lossless compared to electrical conduction in metals
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 significantly improves data processing speed by more than three orders of magnitude, enabling efficient data mining and pattern recognition, with capabilities exceeding 200 Tb/s and reduced power consumption, while maintaining high sensitivity and dynamic range.
Implementation Method 1
coherent interferometric detection methods
Implementation Method 2
spectrally phase encoded optical frequency combs
Data Source
AI summary
Methods, apparatus and systems for an optical system for data harvesting and pattern recognition. The system includes a mode locked laser for producing a comb of optical frequencies that is split into two identical combs, a wavelength division demultiplexer eparate the individual optical frequency components of one comb and modulates each optical frequency component with a different one of plural target objects. A second modulator modulates an input signal with the second comb and an optical splitter splits the modulated signal into plural optical frequency components each containing the input signal. An optical combiner simultaneously combines the components containing the real time signal with one of the components containing a target object to produce a temporally modulated interferogram, and a comparator simultaneously compares the two on a comb by comb basis using balanced differential detection to determine any of the plural target objects are found in the input signal.