Optical Circuit Structural Loss Characterization With Matrix-Based Extraction
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Solution Overview
Problem
Existing methods for characterizing optical structures in integrated circuits are resource-intensive, space-consuming, and time-consuming, often requiring separate processing steps and lacking accuracy in measuring optical losses.
Innovation Solution
A method involving providing optical waves to multiple optical circuits with structural features, measuring responses, and computing optical losses using a system of equations to determine structural feature losses, utilizing pseudo-inverse calculations for matrices representing optical circuits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If separate processing steps are used for characterizing each structural feature, then measurement accuracy may be improved, but resource consumption and processing time increase significantly
Solution Approach 1:
The patent combines multiple characterization measurements into a single integrated process. By providing optical waves to N optical circuits simultaneously and measuring their responses together, the system characterizes p structural features in one processing step rather than requiring separate measurements for each feature, thereby reducing total processing time while maintaining measurement accuracy through systematic data collection and matrix-based computation.
Solution Approach 2:
The optical circuits are designed with multiple structural features (p features) that can be characterized through a universal measurement approach. The same set of N optical circuits serves multiple characterization purposes simultaneously, allowing the system to extract information about different structural features from a single measurement campaign, thus improving efficiency without sacrificing the precision needed for each individual feature.
2Area of stationary object
If multiple optical circuits with different structural features are characterized simultaneously, then resource requirements and space consumption are reduced, but measurement complexity increases
Solution Approach 1:
The patent segments the characterization task into discrete mathematical operations. By representing the optical circuits as matrices where rows correspond to circuits and columns to structural features, the complex simultaneous characterization problem is broken down into manageable linear algebra operations (matrix inversion and multiplication), making the complexity tractable while enabling space-efficient parallel characterization of multiple circuits.
Solution Approach 2:
The system varies parameters systematically across the N optical circuits to enable differentiation of structural feature effects. By controlling the quantities of each structural feature in different circuits and measuring the resulting optical responses, the system transforms a complex simultaneous measurement problem into a solvable parameter variation problem that can be processed through mathematical computation.
3Loss of information
If traditional characterization methods are used, then comprehensive understanding of optical circuit behavior can be achieved, but the process becomes resource-intensive and space-consuming
Solution Approach 1:
The patent uses N optical circuits as replicated test structures, where each circuit is a copy containing specific combinations of structural features. By measuring these replicated circuits and using matrix operations to process the collective data, the system achieves comprehensive understanding of optical behavior through computational analysis of multiple copies rather than requiring extensive physical resources for individual detailed measurements.
Data Source
AI summary
In one aspect, in general, a method comprises: providing optical waves to each of N optical circuits, each optical circuit comprising one or more of each of p structural features, where p is an integer greater than 1, and N is greater than or equal to p+1; measuring optical responses from each of the optical circuits, where each measured optical response depends at least in part on the optical wave provided to the respective optical circuit; and computing an optical loss associated with each of the p structural features based at least in part on an optical loss for each optical circuit that is calculated based at least in part on the optical wave provided to and the measured optical response from a respective optical circuit, and quantities of each of the p structural features in each of the respective optical circuits.