Segmented Optical Modulator for Neuromorphic Matrix Multiplication
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Solution Overview
Problem
Current neuromorphic computing systems rely heavily on electronic circuits for matrix multiplication, which limits their efficiency and scalability, especially in performing complex operations like those required by artificial neural networks (ANNs), and there is a lack of effective integration of optical signals for significant computations.
Innovation Solution
The development of an apparatus and system that uses an optical waveguide with multiple non-overlapping segments and optical modulators, where each modulator applies modulation proportional to its segment length, allowing for efficient optical modulation of binary values, including least significant, most significant, and intermediate bits, to perform matrix multiplication optically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If electronic circuits are used for matrix multiplication in neuromorphic computing, then the system can perform computations, but the processing speed and scalability are limited
Solution Approach 1:
The patent replaces electronic circuits with optical components for matrix multiplication operations. Optical signals propagate through waveguides and interact via nonlinear optical effects, enabling faster computation speeds while maintaining system functionality. This substitution transitions from electronic domain to optical domain, leveraging the inherent speed advantages of light-based processing.
Solution Approach 2:
The invention changes the fundamental operating parameter from electrical signals to optical signals. By using light intensity, phase, and frequency as information carriers instead of electrical voltages or currents, the system achieves higher processing speeds and improved scalability for neuromorphic computing applications.
2Productivity
If optical signals are used for data transport only, then long-distance communication is achieved, but significant computational operations cannot be performed
Solution Approach 1:
The patent creates an optoelectronic hybrid system where optical signals serve dual purposes: both data transport and computational processing. The optical components perform matrix multiplication and other neural network operations directly on optical signals, eliminating the need for continuous electrical-optical conversions and enabling versatile computational functionality within the optical domain.
Solution Approach 2:
The invention introduces optoelectronic converters as intermediary components that enable bidirectional translation between optical and electrical domains. These converters allow the system to leverage the advantages of both domains: optical signals for high-speed transport and processing, and electrical signals for control and digital processing, creating a flexible hybrid architecture.
3Productivity
If multiple electrical contacts are coupled to each optical modulator, then more bit values can be processed, but the device complexity increases
Solution Approach 1:
The patent divides the optical waveguide into multiple discrete waveguide segments, with each segment corresponding to a specific bit position (LSB, MSB, IB). Each waveguide segment is coupled to a dedicated electrical contact or control line, allowing independent modulation of each bit component. This segmentation enables efficient parallel processing of multiple bit values while maintaining simple one-to-one coupling relationships.
Solution Approach 2:
The invention processes multiple bit values by utilizing the spatial dimension of the optical waveguide. Different waveguide segments are positioned at different locations along the waveguide path, allowing simultaneous processing of multiple bit components in space rather than requiring multiple electrical contacts per modulator. This spatial multiplexing reduces electrical coupling complexity while maintaining high bit processing capability.
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 enables faster and more scalable neuromorphic computing by leveraging optical signals for matrix multiplication, potentially increasing processing speed and reducing power consumption, while also allowing for more compact and efficient designs.
Implementation Method 1
three or more optical modulators, in which each optical modulator includes a corresponding one of the waveguide segments and is configured to apply an optical modulation that is proportional to a length of that corresponding waveguide segment
Data Source
AI summary
An apparatus having a segmented optical modulator includes an optical waveguide having three or more segments. Each of three or more optical modulators includes a corresponding waveguide segment and is configured to apply an optical modulation that is proportional to the length of the segment. Three or more electrical contacts receive respective bit values of binary values. Each binary value includes at least three bit values including a least significant bit (LSB) bit value, a most significant bit (MSB) bit value, and at least one intermediate bit (IB) bit value between the LSB bit value and the MSB bit value. At least one waveguide segment of a corresponding optical modulator receiving an LSB bit value is positioned between a first waveguide segment of a corresponding optical modulator receiving an MSB bit value and a second waveguide segment of a corresponding optical modulator receiving an IB bit value.