On-Board Quantum Computing Subsystem for Mobile Systems
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Solution Overview
Problem
Current automated control systems for mobile systems are limited in their ability to process external environment features in real-time, leading to inefficiencies and potential failures due to time lags and signal losses when relying on remote quantum computing systems for optimization.
Innovation Solution
Integration of a superconducting quantum computing system with an on-board cryogenic refrigeration system into mobile systems, allowing for real-time quantum computer-based control by performing optimization tasks directly within the mobile system, reducing the complexity and duration of cryogenic refrigeration requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a remote quantum computing system is used for optimization, then quantum computing capability is provided, but time lags and signal losses occur
Solution Approach 1:
The patent merges the quantum computing subsystem with the mobile system by integrating a quantum processor and cryogenic refrigeration system directly into the mobile platform. This combination eliminates remote signal transmission, thereby removing time lags and signal losses while maintaining quantum computing capability for real-time optimization.
Solution Approach 2:
The patent introduces an on-board cryogenic refrigeration system as an intermediary component that enables the quantum processor to operate locally within the mobile system. This intermediary infrastructure allows quantum computations to be performed in-real-time without requiring external quantum computing resources.
2Extent of automation
If a full cryogenic refrigeration system is integrated into mobile systems, then quantum computing operations are enabled, but system complexity and infrastructure requirements increase
Solution Approach 1:
The patent applies local quality by providing cryogenic cooling only where and when needed - specifically at the quantum processor location within the mobile system. Rather than implementing a full-system cryogenic infrastructure, the refrigeration system is localized to the immediate vicinity of the quantum components, reducing overall system complexity.
Solution Approach 2:
The patent segments the cryogenic refrigeration system into modular components that can be integrated into the mobile platform. By dividing the refrigeration infrastructure into separate, manageable modules (coolant supply, cooling apparatus, thermal management), the system complexity is reduced while maintaining quantum computing functionality.
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
Enables faster, more reliable, and accurate real-time optimization of mobile system behaviors, such as navigation and actions, by eliminating the need for remote signal transmission and simplifying the cryogenic refrigeration infrastructure.
Implementation Method 1
A quantum computing system is any computing system that is designed to leverage at least one quantum mechanical phenomenon (such as superposition, entanglement, tunneling, etc.) in the processing of quantum information
Implementation Method 2
A quantum computing system is any computing system that is designed to leverage at least one quantum mechanical phenomenon (such as superposition, entanglement, tunneling, etc.) in the processing of quantum information
Implementation Method 3
A quantum computing system is any computing system that is designed to leverage at least one quantum mechanical phenomenon (such as superposition, entanglement, tunneling, etc.) in the processing of quantum information
Implementation Method 4
Integration of a superconducting quantum computing system with an on-board cryogenic refrigeration system into mobile systems
Implementation Method 5
Integration of a superconducting quantum computing system with an on-board cryogenic refrigeration system into mobile systems, allowing for real-time quantum computer-based control
Data Source
AI summary
Systems and methods for integrating quantum computing systems into mobile systems for the purpose of providing real-time, quantum computer-based control of the mobile systems are described. A mobile system includes a data extraction subsystem that extracts data from an external environment of the mobile system and a quantum computing subsystem that receives data from the data extraction subsystem and performs a quantum computing operation in real-time using the data from the data extraction subsystem. A result of the quantum computing operation influences a behavior of the mobile system, such as the navigation of the mobile system or an action performed by the mobile system. The on-board quantum computing subsystem includes on-board quantum computing infrastructure that is adapted to suit the needs and spatial constraints of the mobile system.