Quantum Resource Parceling for Multi-Tenant Qubit Allocation
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Solution Overview
Problem
Existing technologies struggle to efficiently partition and virtualize monolithic quantum-classical hybrid computing resources into multiple independently-saleable parcels, lacking effective methods for demand management, resource allocation, and multi-tenancy support.
Innovation Solution
A system and method for dynamically partitioning and virtualizing quantum-classical hybrid computing resources into parcels, utilizing order matching, auctioning, and scheduling mechanisms to allocate qubits and qubit-qubit links, with synchronized control threads and multi-tenancy support, and a pricing mechanism based on database-driven calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If monolithic quantum-classical hybrid computing resources are used, then resource availability is simple, but resource allocation efficiency and multi-tenancy support are poor
Solution Approach 1:
The patent divides the monolithic quantum-classical hybrid computing resource into multiple independently saleable parcels, each containing qubits, control threads, and associated resources. This segmentation enables efficient resource allocation through auction mechanisms while maintaining manageable complexity through standardized parcel structures.
Solution Approach 2:
The patent introduces a resource manager as an intermediary system that handles the complexity of resource partitioning, allocation, and scheduling. This mediator abstracts the complexity from users while enabling efficient multi-tenancy support and dynamic resource distribution through auction-based mechanisms.
2Productivity
If dynamic partitioning and virtualization are implemented, then resource utilization is optimized, but system complexity increases
Solution Approach 1:
The patent implements dynamic partitioning where quantum resources can be reallocated between parcels based on demand and auction outcomes. The system transitions from static monolithic allocation to dynamic virtualized parcels, optimizing utilization while managing complexity through automated scheduling mechanisms.
Solution Approach 2:
The patent creates universal parcels that can accommodate different configurations of quantum and classical resources, enabling a single parcel structure to serve multiple functions and use cases. This universality simplifies system architecture by providing a standardized interface for diverse resource needs.
3Adaptability or versatility
If auctioning and scheduling mechanisms are added, then demand management improves, but device complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where the resource manager monitors demand, auction outcomes, and resource usage patterns to dynamically adjust scheduling and allocation policies. This feedback loop enables sophisticated demand management while containing complexity through automated adaptive control.
Data Source
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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.