Parallel Photonic Computation via Optical Interference

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Solution Overview

Problem

Existing photonic computing approaches require significant energy and device area, making them less attractive compared to traditional electronic computing systems.

Innovation Solution

A system and method for parallel photonic computation that includes a source module generating multi-channel optical sources, input modulator units for phase-stable modulation, an optical interference unit for unitary matrix multiplication, and detector banks for electrical signal transduction, enabling efficient parallel processing with reduced energy and area requirements.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Use of energy by moving object

If traditional photonic computing approaches are used, then photonic computation can be performed, but energy consumption and device area requirements are significant

Engineering Contradiction:
Improveenergy consumptionVSAvoidcomputation efficiency
Core Design Contradiction:
Use of energy by moving objectVSProductivity

Solution Approach 1:

The photonic computing system is segmented into distinct functional modules: light source, modulator array, optical interference unit, and detector array. Each module performs a specific function, allowing for optimized energy consumption in each segment while maintaining overall computational efficiency. The modulator array segments the computation into multiple parallel optical paths.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent transitions from sequential electronic computation to parallel optical computation by utilizing the spatial dimension of light propagation. Multiple computational operations are performed simultaneously across different optical paths and wavelengths, effectively adding dimensional parallelism to the computation process.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Area of stationary object

If traditional photonic computing approaches are used, then photonic computation can be performed, but device area requirements are significant

Engineering Contradiction:
Improvedevice areaVSAvoidphase stability
Core Design Contradiction:
Area of stationary objectVSReliability

Solution Approach 1:

The patent merges multiple computational functions into a compact optical interference unit where modulator outputs are combined through optical interference. This consolidation reduces the overall device area while maintaining computational capabilities. The detector array merges multiple detection functions into integrated photodetector elements.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The system employs a nested structure where modulator units are integrated within the optical interference unit, which is itself integrated with the detector array. This nested arrangement minimizes the total device footprint while preserving all functional components and their interconnections.

Inventive Principle:
Principle #7Nested doll (Nesting)

3Productivity

If parallel photonic computation is implemented, then computation efficiency is improved, but system complexity increases

Engineering Contradiction:
Improvecomputation efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The optical interference unit serves multiple functions simultaneously: it performs matrix multiplication, handles signal interference, and enables parallel computation across multiple channels. This multi-functionality reduces the need for separate dedicated components, thereby managing system complexity while maintaining high computational efficiency.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent introduces optical interference as an intermediary mechanism that naturally performs complex computational operations. Rather than requiring complex control circuits for each computational operation, the optical interference pattern itself encodes the computation results, simplifying the overall system architecture while enabling parallel processing.

Inventive Principle:
Principle #24Intermediary (Mediator)

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 solution enables efficient parallel photonic computation with reduced energy consumption and device area, achieving effective matrix operations and signal processing while maintaining phase stability and accuracy.

Implementation Method 1

an optical interference unit for performing, in parallel, a unitary matrix multiplication on a set of input vectors

Methodology Applied
Scientific EffectOptical interference: Interference

Implementation Method 2

a plurality of detector banks, each associated with a different output of the optical interference unit, to transduce the output of the optical interference unit into a set of output electrical signals

Methodology Applied
Scientific EffectPhotoelectric transduction: Photoelectric Effect

Data Source

PatentUS11500410B1System and method for parallel photonic computation
Publication Date: 2022.11.15 ADVANCED MICRO DEVICES INC
  • US11500410B1 patent drawing
  • US11500410B1 patent drawing
  • US11500410B1 patent drawing

AI summary

A system for parallel photonic computation, preferably including a source module, a plurality of input modulator units, an optical interference unit (OIU), and a plurality of detector banks. An OIU, preferably including one or more unitary matrix modules and optionally including a diagonal matrix module. An input modulator, which can include one or more waveguides, couplers, and/or modulator banks. A method for parallel photonic computing, preferably including encoding input vectors, performing a desired matrix operation, and receiving output values, and optionally including performing electronic computations and/or performing further optical computations based on the outputs, which can function to compute the results of a matrix operation on many different input vectors in parallel.