Photonic Processor Tensor Multiplication via Integrated Waveguides
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Solution Overview
Problem
Existing technologies face challenges in efficiently performing tensor multiplication due to the complexity of maintaining phase stability in free-space optical systems and the high power consumption associated with on-chip data movement.
Innovation Solution
A photonic processor is developed, comprising row encoders, column encoders, and optical multiplication devices, which encode matrix values into optical signals and perform optical multiplication to achieve tensor multiplication with reduced latency and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If free-space optical systems are used for tensor multiplication, then optical processing capability is achieved, but phase stability is difficult to maintain
Solution Approach 1:
The patent replaces free-space optical mechanical systems with integrated photonic circuit systems. The optical processing is moved from unstable free-space propagation to stable integrated waveguide structures, eliminating phase stability issues while maintaining optical processing capability for tensor multiplication
Solution Approach 2:
The patent introduces integrated photonic circuits as an intermediary between the optical processing requirements and the computational tasks. These circuits serve as a stable medium that maintains phase coherence while enabling optical tensor multiplication operations
2Device complexity
If on-chip data movement is used, then integration is improved, but power consumption increases
Solution Approach 1:
The patent replaces electrical signal transmission with optical signal transmission for data movement on-chip. By using photonic instead of electronic data transmission, the system achieves integration while dramatically reducing power consumption, as optical signals do not require the same level of electrical driving and suffer less from resistive losses
3Measurement precision
If conventional electronic processing is used, then computational accuracy is maintained, but latency is high
Solution Approach 1:
The patent performs matrix multiplication operations in parallel using optical processing before electronic conversion is needed. By pre-computing results optically and converting only the final results to electrical signals, the system reduces latency while maintaining accuracy through the parallel nature of optical computation
Solution Approach 2:
The patent substitutes electronic sequential processing with optical parallel processing. The optical domain enables simultaneous multiplication of multiple data elements, dramatically reducing computational latency while maintaining precision through the linear nature of optical operations
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 photonic processor enables efficient tensor multiplication with reduced latency and zero electrical power consumption for data movement, enhancing the training efficiency of deep neural networks.
Implementation Method 1
a coupler circuit coupled to the first input waveguide and the second input waveguide and configured to output a first mixed optical signal and a second mixed optical signal by mixing the first optical signal and the second optical signal
Implementation Method 2
a first detector coupled to the coupler circuit and configured to output a first electrical signal based on the first mixed optical signal; a second detector coupled to the coupler circuit and configured to output a second electrical signal based on the second mixed optical signal
Data Source
AI summary
Systems and methods for performing matrix operations using a photonic processor are provided. The photonic processor includes encoders configured to encode a numerical value into an optical signal and optical multiplication devices configured to output an electrical signal proportional to a product of one or more encoded values. The optical multiplication devices include a first input waveguide, a second input waveguide, a coupler circuit coupled to the first input waveguide and the second input waveguide, a first detector and a second detector coupled to the coupler circuit, and a circuit coupled to the first detector and second detector and configured to output a current that is proportional to a product of a first input value and a second input value.