Quantum Application Component Routing via Dissection and Dynamic Platform Selection
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Solution Overview
Problem
Existing quantum computing job routing technologies do not enable the routing of discrete components of a quantum application to the most suitable quantum platforms based on defined run criteria, limiting the execution efficiency and effectiveness of quantum computing processes.
Innovation Solution
A system comprising a dissection component to identify components of a quantum application and a determination component to select the most appropriate quantum platform for execution based on defined run criteria, utilizing quantum hardware and software resources in a cloud computing environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If quantum applications are executed on fixed quantum platforms, then platform availability is maintained, but execution efficiency and effectiveness are limited
Solution Approach 1:
The patent segments the quantum application into discrete components that can be independently routed to different quantum platforms. This allows each component to be executed on the most suitable platform rather than the entire application on a single platform, thereby improving execution efficiency while maintaining adaptability.
Solution Approach 2:
The patent implements dynamic routing of quantum application components to quantum platforms based on real-time criteria such as availability, performance characteristics, and component requirements. This dynamic allocation enables the system to adapt to changing conditions and optimize execution efficiency continuously.
2Reliability
If quantum components are routed to multiple platforms, then execution effectiveness is improved, but system complexity increases
Solution Approach 1:
The patent introduces a routing system as an intermediary layer between the quantum application components and quantum platforms. This intermediary manages the complexity of multi-platform routing by providing standardized interfaces, criteria-based decision logic, and automated component placement, thereby improving execution effectiveness without proportionally increasing user-facing complexity.
Solution Approach 2:
The patent changes the routing decision parameters from static platform assignments to dynamic criteria-based selections. By evaluating multiple parameters such as platform availability, performance metrics, and component requirements, the system achieves more effective execution while managing complexity through automated parameter evaluation and decision-making.
3Measurement precision
If discrete components are identified and routed, then processing accuracy is improved, but identification and selection processes become more complex
Solution Approach 1:
The patent performs preliminary dissection of the quantum application into discrete components before routing. By pre-identifying and characterizing components with their specific requirements and characteristics, the system simplifies the subsequent routing decision process. This preliminary analysis enables accurate component identification while reducing the complexity of real-time routing decisions.
Data Source
AI summary
Systems, computer-implemented methods, and computer program products to facilitate quantum platform routing of a quantum application component are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a dissection component that identifies one or more components of a quantum application. The computer executable components can further comprise a determination component that selects at least one quantum platform to execute the one or more components of the quantum application based on a defined run criterion.