Ultra-Wide Data Band Optical Processor Rack Architecture
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Solution Overview
Problem
Existing photonic computing systems face limitations in scalability, efficiency, and power consumption, particularly in artificial intelligence applications, due to phase-noise, heat sensitivity, and scaling-dependent inefficiencies, which hinder the development of energetically sustainable supercomputing systems.
Innovation Solution
A novel photonic processor architecture utilizing a rack configuration of photonic guiding units, such as fiber-based systems, enables ultra-wide data band processing with high-density, programmable, and compact arrangements, allowing for efficient optical coupling and interaction between light fields, and incorporating commercially available components for interfacing with electronic systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If photonic computing systems use traditional electronic computing architectures, then computing bandwidth is limited, but power consumption increases without improving compute bandwidth
Solution Approach 1:
The patent replaces electronic computing systems with photonic computing systems that use light instead of electricity. The optical processor uses photonic guiding units (optical fibers, waveguides) to transmit and process data as light signals, eliminating the need for electronic components that consume power without proportionally increasing compute bandwidth. This substitution enables higher compute bandwidth while reducing power consumption.
Solution Approach 2:
The patent changes the fundamental operating parameters from electronic signals to optical signals. By using light fields with different propagation conditions (wavelengths, modes, cores) to encode and transmit information, the system achieves higher bandwidth utilization. The photonic processor manipulates light properties such as wavelength division multiplexing and spatial mode multiplexing to dramatically increase compute bandwidth beyond electronic limits.
2Measurement precision
If photonic computing systems increase the number of parameters (nodes, connections, layers) to improve computing accuracy, then computing accuracy improves, but system complexity and power consumption increase
Solution Approach 1:
The patent introduces additional dimensions for data encoding and transmission beyond traditional single-mode optical fibers. By utilizing multi-core fibers, few-mode fibers, or single-mode fibers supporting multiple wavelengths simultaneously, the system creates parallel data pathways. This dimensional expansion allows more computations to occur in parallel, improving accuracy without proportionally increasing system complexity or power consumption.
Solution Approach 2:
The photonic guiding units serve multiple functions simultaneously - they act as waveguides, multiplexers, and processing elements. The same optical infrastructure handles both data transmission and computational operations through nonlinear optical effects, eliminating the need for separate electronic components for each function and reducing overall system complexity.
3Reliability
If photonic computing systems use fiber optics instead of silicon photonics, then stability and robustness improve, but integration density decreases
Solution Approach 1:
The patent employs nested photonic guiding units where multiple cores or modes are contained within a single fiber structure. Multi-core fibers nest multiple independent waveguides within one cladding, while few-mode fibers nest multiple spatial modes within a single core. This nesting allows high integration density while maintaining the stability and robustness of fiber optic technology.
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
The proposed architecture achieves supercomputing performance with over 1,000,000 Tera operations per second and efficiency higher than 1000 TOPs/Watt, demonstrating a six-order-of-magnitude improvement in computing efficiency and accuracy comparable to state-of-the-art systems.
Implementation Method 1
coupling of light propagating in photonic guiding units (such as optical fibers and waveguides) may be used for various processing tasks
Data Source
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AI summary
A photonic computing system is presented. The system comprises an arrangement of multiple photonic processing units having input and output ports, each of the photonic processing units comprising an array of photonic guiding units configured to define propagation conditions for multiple light fields associated with one or more optical processing tasks. The system also comprises a plurality of optical connectors, each of the optical connectors performing light field to light field coupling between the input and output ports of the photonic processing units, thereby providing a network of communicating processing units. The photonic computing system can be configured as a module enabling its housing in a network rack.