Interleaved cryogenic cooling system for quantum computing applications

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Solution Overview

Problem

Cryogenic cooling systems for quantum computing face challenges in maintaining efficient cooling power and scalability due to thermal conductivity issues from signal lines connecting classical and quantum systems, leading to reduced efficiency and increased resource requirements as quantum hardware complexity grows.

Innovation Solution

Implementing a cryogenic cooling system with interleaved cooling units operating at different temperatures within each stage, allowing for alternating layers of first and second cooling units to optimize cooling power and minimize thermal impact from signal lines.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If signal lines connect classical and quantum systems through cryogenic cooling stages, then communication between processors is enabled, but thermal conductivity causes cooling efficiency to degrade

Engineering Contradiction:
Improvecommunication reliabilityVSAvoidcooling efficiency
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The cooling system is divided into multiple discrete cooling stages (first cooling stage, second cooling stage, etc.), each operating at different temperature ranges. Signal lines pass through multiple cooling units in sequence, with each unit providing localized cooling at its optimal temperature range, thereby maintaining overall cooling efficiency while enabling signal transmission.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a multi-dimensional cooling architecture where cooling units are arranged in series along the signal line path, creating a temperature gradient dimension. This allows the system to address thermal management in multiple temperature dimensions simultaneously, optimizing cooling efficiency at each stage while maintaining signal line functionality.

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

2Productivity

If quantum hardware complexity increases to improve computing capability, then processing power increases, but thermal impact from additional signal lines increases

Engineering Contradiction:
Improvecomputing capabilityVSAvoidthermal impact
Core Design Contradiction:
ProductivityVSLoss of energy

Solution Approach 1:

The cooling system uses multiple cooling stages with each stage handling specific temperature ranges. As quantum hardware complexity increases and more signal lines are added, the segmented cooling architecture distributes the thermal management load across multiple stages, preventing any single stage from becoming overwhelmed by excessive thermal impact.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Each cooling unit operates at different temperature parameters optimized for its specific function. When hardware complexity increases, the system can adjust and optimize cooling parameters at each stage independently, maintaining thermal efficiency despite the increased number of signal lines and heat sources.

Inventive Principle:
Principle #35Parameter changes

3Temperature

If traditional cooling systems are used to maintain temperature, then cooling is provided, but scalability is limited due to resource requirements

Engineering Contradiction:
Improvetemperature controlVSAvoidscalability
Core Design Contradiction:
TemperatureVSAdaptability or versatility

Solution Approach 1:

The modular segmented cooling architecture allows the system to be scaled by adding or removing cooling stages as needed. Each cooling unit is independently optimized and can be configured to handle different temperature ranges, enabling the system to adapt to various quantum hardware configurations and scale resources efficiently based on computational requirements.

Inventive Principle:
Principle #1Segmentation

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 enhances cooling efficiency by 10 to 100 times while requiring only double the resources, improving scalability and maintaining temperature requirements for quantum computing systems.

Implementation Method 1

a cryogenic cooling system configured to cool the one or more quantum systems to a temperature of less than about 1 kelvin

Methodology Applied
Scientific EffectCryogenic cooling: Cryogenics

Implementation Method 2

The one or more signal lines can pass through each of the plurality of interleaved cooling units for each of the plurality of cryogenic cooling stages

Methodology Applied
Scientific EffectThermal conduction: Conduction (thermal)

Data Source

PatentUS12474750B2Interleaved cryogenic cooling system for quantum computing applications
Publication Date: 2025.11.18 GOOGLE LLC
  • US12474750B2 patent drawing
  • US12474750B2 patent drawing
  • US12474750B2 patent drawing

AI summary

A cryogenic cooling system for use in quantum computing applications can include a plurality of cryogenic cooling stages. Each of the plurality of cryogenic cooling stages can include a plurality of interleaved cooling units. The plurality of interleaved cooling units can include a first cooling unit and a second cooling unit. Each of the plurality of interleaved cooling units can have an associated operating temperature range. One or more signal lines that couple one or more classical processors to one or more quantum systems can pass through each of the plurality of interleaved cooling units for each of the plurality of cryogenic cooling stages.