Dynamic Partitioning of Quantum-Classical Hybrid Resources
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Solution Overview
Problem
Existing technologies face challenges in efficiently partitioning and virtualizing monolithic quantum-classical hybrid computing resources into multiple independently-saleable parcels, which limits their flexibility and scalability in meeting diverse user demands.
Innovation Solution
The system dynamically partitions and virtualizes monolithic quantum-classical hybrid computing resources into multiple parcels by configuring qubits and qubit-qubit links on quantum processor units, extending virtualization from the qubit level up through the control system, and incorporating auxiliary classical resources for hybrid workloads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If monolithic quantum-classical hybrid computing resources are used, then resource simplicity and ease of operation are maintained, but flexibility and adaptability to diverse user demands deteriorate
Solution Approach 1:
The patent divides the monolithic quantum-classical hybrid computing resource into multiple independently saleable parcels, each containing specific quantum and classical computing capabilities. This segmentation enables flexible allocation to different users based on their specific needs while maintaining the simplicity of each individual parcel.
Solution Approach 2:
The system implements dynamic partitioning and virtualization of quantum-classical resources into multiple parcels that can be allocated and deallocated in real-time based on user demands. This dynamic approach allows the system to adapt to changing workloads while maintaining manageable complexity through automated resource management.
2Adaptability or versatility
If monolithic quantum-classical hybrid computing resources are used, then system simplicity is maintained, but scalability to meet diverse user demands deteriorates
Solution Approach 1:
By segmenting the large monolithic resource into smaller virtual parcels, the system achieves scalability - new users can be served by allocating appropriate parcels without requiring virtualization of the entire system. Each parcel can be independently managed and scaled.
Solution Approach 2:
The system creates virtual copies or instances of quantum-classical resource parcels that can be deployed to meet diverse user demands. These virtual parcels replicate the functionality of physical resources, enabling scalable service delivery without proportional increases in physical complexity.
3Ease of operation
If dynamic partitioning and virtualization into parcels is implemented, then flexibility and user demand adaptation are improved, but resource allocation complexity increases
Solution Approach 1:
The system implements self-service mechanisms where users can autonomously request, allocate, and manage quantum-classical resource parcels through simplified interfaces. The automated allocation system handles the complex resource distribution logic, allowing users to benefit from flexibility without dealing with allocation complexity directly.
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AI summary
In a general aspect, methods and systems are described for dynamically partitioning and virtualizing a monolithic quantum-classical hybrid computing resource into multiple different and independently-saleable, as a resource to a user, parcels. These parcels may comprise configurations of qubits and qubit-qubit links on one or more quantum processor units for use by users for running computer programs.