Photonic Computational Architecture Inverse Design
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Solution Overview
Problem
Current photonic integrated circuits require multiple light sources per computational unit and suffer from significant insertion loss, limiting their efficiency in optical signal processing and communication applications.
Innovation Solution
The design of photonic computational architectures using an inverse design tool to optimize optical components such as couplers and waveguides, minimizing insertion loss by determining structural and functional parameters through simulations of Maxwell's equations, allowing for stacked and primary-secondary configurations that process optical signals efficiently without the need for multiple light sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple light sources are used per computational unit, then the photonic integrated circuit can process optical signals, but the device complexity and cost increase significantly
Solution Approach 1:
The patent merges multiple light sources into a single shared light source that serves multiple computational units through optical coupling. The optical signal from one light source is distributed to multiple computational units via waveguides and couplers, eliminating the need for separate light sources at each computational unit while maintaining full processing capability.
Solution Approach 2:
The patent implements a universal light source that serves multiple computational units simultaneously. A single light source generates optical signals that are routed to different computational units through the photonic integrated circuit, allowing one light source to perform the function that would otherwise require multiple dedicated sources.
2Productivity
If traditional photonic integrated circuit designs are used, then optical signal processing is enabled, but insertion loss becomes significant
Solution Approach 1:
The patent transitions from planar 2D optical coupling to 3D vertical stacking architecture. Computational units are stacked in multiple layers with optical coupling occurring in the vertical dimension through waveguides and couplers, enabling more efficient light propagation paths and reducing insertion loss compared to traditional planar designs.
Solution Approach 2:
The patent optimizes various design parameters including waveguide dimensions, coupler geometries, and material compositions to minimize insertion loss. By carefully adjusting these parameters during the inverse design process, the system achieves reduced optical loss while maintaining processing efficiency.
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 insertion loss and enhances the processing capabilities of photonic computational architectures, enabling more efficient optical signal processing and communication by optimizing the design of optical components within the architecture.
Implementation Method 1
The first computational unit can receive an optical signal (e.g., light) from an optical source and process a first portion of the optical signal
Implementation Method 2
The first computational unit can be configured to read information from a first one or more wavelengths of the optical signal, modulate the first one or more wavelengths of the optical signal
Implementation Method 3
A second computational unit can receive output from the first computational unit and process a second portion of the optical signal according to the one or more properties of the optical signal (e.g., a second one or more wavelengths)
Data Source
AI summary
Methods and systems for designing a photonic computational architecture including a plurality of optical components. At least some of the methods include: defining a loss function within a simulation space composed of a plurality of voxels, the simulation space encompassing the plurality of optical components; defining an initial structure for the photonic computational architecture in the simulation space, at least some of the voxels corresponding to each of the plurality of optical components and having a dimension smaller than an operative wavelength of the computational architecture; determining values for at least one structural parameter and/or at least one functional parameter for each of the plurality of optical components using a numerical solver to solve Maxwell's equations; and defining a final structure of the photonic computational architecture based on the values for the one or more structural and/or functional parameters.