Photonic Logic Gate Design via S-Matrix Optimization
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Solution Overview
Problem
The design of photonic circuits is inefficient due to the high computational cost and exponential complexity of existing methods like FDTD simulations, which are time-consuming and require numerous iterations to optimize photonic gates, limiting the exploration of design tradeoffs and performance.
Innovation Solution
An emulator circuit with a first optimizer and a comparator is used to determine and update the coefficients of an S-matrix representation model, reducing the number of numerical simulations needed by optimizing device coefficients iteratively to match target coefficients, thereby efficiently designing photonic circuits with reduced complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If FDTD simulations are used to optimize photonic gates, then design accuracy is improved, but computational time and complexity increase exponentially
Solution Approach 1:
The patent creates a simplified S-matrix representation model that copies only the essential mathematical structure needed to describe photonic gate behavior, omitting the complex physical simulation details of FDTD methods. This abstraction allows accurate design while reducing computational complexity from exponential to polynomial scale.
Solution Approach 2:
The patent changes the fundamental parameters of the design process by using S-matrix coefficients as the optimization variables instead of direct FDTD simulation parameters. This parameter transformation enables iterative optimization with linear complexity by working with the simplified mathematical model rather than the full physical simulation.
2Manufacturing precision
If FDTD simulations are used to optimize photonic gates, then design accuracy is improved, but time consumption increases significantly
Solution Approach 1:
The patent creates a simplified S-matrix representation model that copies only the essential mathematical structure needed to describe photonic gate behavior, omitting the complex physical simulation details of FDTD methods. This abstraction allows accurate design while reducing computational complexity from exponential to polynomial scale.
Solution Approach 2:
The patent performs preliminary optimization by iteratively updating S-matrix coefficients before final device design. This preliminary action with the simplified model avoids the need for time-consuming FDTD simulations during each optimization iteration, significantly reducing total design time while maintaining accuracy.
3Reliability
If numerous iterations are used to optimize photonic gates, then performance is improved, but computational cost increases
Solution Approach 1:
The patent changes the fundamental parameters of the design process by using S-matrix coefficients as the optimization variables instead of direct FDTD simulation parameters. This parameter transformation enables iterative optimization with linear complexity by working with the simplified mathematical model rather than the full physical simulation.
Solution Approach 2:
The patent implements feedback mechanisms through the comparator circuit that compares target S-matrix coefficients with device coefficients, guiding iterative updates. This feedback loop with the simplified S-matrix model achieves performance optimization at linear computational cost, avoiding the exponential cost of repeated FDTD simulations.
Data Source
AI summary
Embodiments of the present disclosure are directed to an efficient design of a photonic circuit by an emulator circuit that optimizes coefficients of an S-matrix representation model of the photonic circuit. The emulator circuit comprises a first optimizer circuit, a comparator circuit, and a second optimizer circuit. The first optimizer circuit determines target coefficients of a target S-matrix representation model of the photonic circuit, based on photonic input signals and target photonic output signals of the target S-matrix representation model. The comparator circuit compares the target coefficients with device coefficients of an S-matrix representation model of the photonic circuit. The second optimizer circuit iteratively updates the device coefficients based on the comparison to determine final device coefficients. The photonic circuit is defined in accordance with the determined final device coefficients.