Hybrid Quantum-Classical Cloud Platform Task Execution
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Solution Overview
Problem
Current quantum computing cloud platforms face significant communication overhead and data delay due to frequent cross-cluster communication between classical and quantum computing clusters, which limits the efficiency of task processing and diminishes the advantages of quantum computing.
Innovation Solution
A hybrid quantum-classical cloud platform is introduced, comprising a SaaS layer for acquiring a hybrid quantum-classical programming language, a PaaS layer for task separation and resource allocation, and an IaaS layer for executing quantum and classical computing tasks using quantum virtual machines and classical servers, respectively, reducing communication overhead and data delay through intra-cluster communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If frequent communication between classical computing clusters and quantum computing clusters is carried out, then task completion can be achieved, but communication overhead increases and data delay occurs
Solution Approach 1:
The patent merges classical computing clusters and quantum computing clusters into a single hybrid cluster architecture. Classical computing nodes and quantum computing nodes are integrated within the same cluster, enabling direct communication without cross-cluster data transfer. This consolidation eliminates the communication overhead and data delay associated with frequent inter-cluster communication while maintaining the ability to execute both classical and quantum tasks efficiently.
2Adaptability or versatility
If quantum computing cloud platform provides online quantum chips or simulation services, then quantum computing access is enabled, but classical computing must be done in local devices requiring frequent communication
Solution Approach 1:
The patent creates a universal hybrid computing platform where a single cluster architecture can execute both classical and quantum computing tasks. The cluster includes both classical computing nodes and quantum computing nodes that can operate independently or cooperatively. This multi-functional design allows users to access quantum computing services through a unified interface without requiring separate classical computing setups, thereby simplifying the overall system architecture and reducing communication complexity.
3Ease of operation
If data is transferred between quantum chips and classical equipment, then task coordination is achieved, but data delay increases
Solution Approach 1:
The patent segments the computing task into quantum computing portions and classical computing portions that can be executed simultaneously within the hybrid cluster. By dividing the workload and executing segments in parallel on different nodes within the same cluster, the system reduces the need for sequential data transfer and coordination, thereby minimizing data delay while maintaining ease of operation through automated task segmentation and scheduling.
Data Source
AI summary
A hybrid quantum-classical cloud platform and a task execution method. The cloud platform comprises: an SaaS layer for providing a user interface so as to acquire, by means of the user interface, a hybrid quantum-classical programming language corresponding to a task to be executed; a PaaS layer for performing algorithm compilation and task separation on the hybrid quantum-classical programming language to obtain a quantum computing task and a classical computing task corresponding to the task to be executed, and respectively allocating resources to the quantum computing task and the classical computing task; and an IaaS layer for executing the quantum computing task using a quantum virtual machine and executing the classical computing task using a classical server according to the resource allocation condition of the PaaS layer. Therefore, the communication overhead and the data delay can be reduced, the task processing efficiency is improved, and the quantum computing advantage is exerted.