Quantum Task Prioritization for QoS-Enforced Computing Services
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Solution Overview
Problem
Existing quantum computing technologies face challenges in efficiently managing and prioritizing quantum tasks to ensure quality of service (QoS) guarantees, particularly due to varying hardware capabilities and resource utilization variability, leading to unreliable results and customer dissatisfaction.
Innovation Solution
A quantum computing service with a priority access control plane and out-of-band prioritization module that manages quantum task queues based on QoS guarantees, using access tokens and dynamic scheduling to ensure timely completion and resource allocation, while accommodating different quantum computing technologies and paradigms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If quantum tasks are submitted to a queue without prioritization, then the system is simple to operate, but QoS guarantees cannot be enforced and task completion reliability deteriorates
Solution Approach 1:
The patent segments quantum tasks into different priority levels (e.g., high, medium, low priority queues) based on QoS requirements. This segmentation allows the system to enforce QoS guarantees by processing high-priority tasks first while maintaining simpler queue management for lower-priority tasks, thus resolving the contradiction between reliability and complexity.
Solution Approach 2:
The system performs preliminary action by pre-assigning priority levels to tasks based on their QoS requirements before they enter the execution queue. This preliminary classification enables the scheduling system to automatically enforce QoS guarantees without requiring complex real-time decision-making, thereby improving reliability while keeping the system relatively simple to operate.
2Reliability
If quantum tasks are prioritized based on QoS guarantees, then task completion reliability improves, but wait times for lower-priority tasks increase
Solution Approach 1:
The patent applies local quality by providing different service levels to different task groups. High-priority tasks receive expedited processing with guaranteed QoS, while lower-priority tasks wait in separate queues. This localized differentiation ensures reliable completion for critical tasks without unnecessarily delaying all tasks, thus managing the trade-off between reliability and wait time.
Solution Approach 2:
The system dynamically adjusts task priorities and queue allocations based on current system load and QoS requirements. When resources are available, the scheduler can flexibly move between priority levels to minimize overall wait times while still guaranteeing QoS for high-priority tasks. This dynamic approach allows the system to optimize the balance between reliability and time loss in real-time.
3Adaptability or versatility
If the system accommodates multiple quantum computing technologies, then adaptability improves, but resource allocation complexity increases
Solution Approach 1:
The patent implements universality by creating a unified resource allocation system that can handle multiple quantum computing technologies (superconducting, trapped ion, photonic, etc.) through a common QoS enforcement framework. The system uses standardized priority levels and queue mechanisms that work across different hardware types, allowing the same allocation logic to serve diverse technologies without increasing operational complexity.
Solution Approach 2:
The system introduces an intermediary layer (the QoS enforcement module) between the task submission interface and the quantum hardware. This intermediary handles the complexity of technology-specific resource allocation by translating high-level QoS requirements into hardware-specific scheduling commands. Users interact with a simplified interface while the intermediary manages the technical complexities of different quantum technologies.
Data Source
AI summary
A quantum computing service includes a quality of service (QoS) and out-of-band prioritization module. The QoS and out-of-band prioritization module enforces QoS guarantees for quantum tasks and quantum jobs submitted to the quantum computing service while allowing for processing of the quantum jobs and quantum tasks based on QoS guarantees and not necessarily in an order in which the quantum jobs or quantum tasks are received. Also, the QoS and out-of-band prioritization module determines updated priorities out-of-band based on quantum resource usage information for previously executed quantum tasks such that submittal of pending quantum tasks is not delayed in while update priorities are being determined.