Thermodynamic Oscillator Chips for Faster Layer Normalization

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Solution Overview

Problem

Existing machine learning algorithms using classical computing devices face challenges with increased execution time and energy consumption due to complex statistical probability calculations, leading to inefficiencies in latency and energy usage.

Innovation Solution

Implementing layer normalization operations on thermodynamic chips using oscillators that evolve thermodynamically to perform calculations, such as mean, variance, and reciprocal operations, allowing for faster and more energy-efficient processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If classical computing devices are used to perform statistical probability calculations, then calculation accuracy is maintained, but execution time and energy consumption increase significantly

Engineering Contradiction:

Improveexecution speedVSAvoidenergy consumption

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

The patent replaces classical digital computing systems with a thermodynamic computing system that uses physical oscillators to perform calculations. The oscillators naturally evolve toward thermodynamic equilibrium, and their final states directly represent the statistical probability distributions, eliminating the need for iterative numerical computations and significantly reducing both execution time and energy consumption.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent changes the fundamental parameter representation from binary digits to continuous thermodynamic parameters (oscillator amplitudes, frequencies, and energy states). By mapping statistical probabilities directly to thermodynamic state parameters, the system performs complex statistical calculations through natural physical evolution rather than sequential computational steps.

Inventive Principle:

Principle #35Parameter changes

2Measurement precision

If complex statistical calculations are performed using classical algorithms, then accurate probability distributions are obtained, but latency increases

Engineering Contradiction:

Improveprobability calculation accuracyVSAvoidexecution latency

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent substitutes iterative numerical algorithms with a parallel thermodynamic process where multiple oscillators simultaneously evolve toward equilibrium. The final oscillator states directly encode the probability distribution, achieving both high accuracy and low latency by leveraging natural thermodynamic behavior instead of sequential computation.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent maintains continuous thermodynamic evolution of oscillators throughout the calculation process, allowing the system to continuously gather information about the probability distribution as oscillators approach equilibrium. This continuous process eliminates the discrete computational steps and idle periods characteristic of classical algorithms, reducing overall execution latency.

Inventive Principle:

Principle #20Continuity of useful action

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

Thermodynamic computing significantly accelerates processing times and reduces energy consumption for machine learning tasks, particularly in applications like natural language processing and image recognition, by leveraging superconducting elements to achieve thermodynamic equilibrium.

Implementation Method 1

leveraging superconducting elements to achieve thermodynamic equilibrium

Methodology Applied

Scientific EffectThermodynamic equilibrium:

Implementation Method 2

thermodynamic chips using oscillators that evolve thermodynamically

Methodology Applied

Scientific EffectSuperconductivity: Superconductivity

Data Source

PatentUS20250284948A1Thermodynamic computing system configured to implement layer normalization architecture

Publication Date: 2025.09.11 EXTROPIC CORP

AI summary

Systems, methods and computer readable media relating to neuro-thermodynamic computers configured to implement a layer normalization gadget, wherein the layer normalization gadget is configured to perform layer normalization operations. Thermodynamic data may be used as input to one or more thermodynamic chips comprising oscillators, wherein thermodynamic evolution according to one or more energy potentials governing the oscillators enable results of layer normalization to be obtained by respective ones of the oscillators. Furthermore, the results may be encoded as thermodynamic data in position degree of freedoms of respective oscillators.