Quantum Service Autoscaler for Resource Bottlenecks

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Solution Overview

Problem

Quantum computing systems face challenges in efficiently managing computing resources, leading to performance issues when under heavy load or increased throughput, as the resources can become insufficient to handle the tasks effectively, potentially resulting in service failures.

Innovation Solution

A quantum service autoscaler is implemented to automatically scale quantum services by provisioning additional resources, such as qubits, and initiating a migration to a second quantum computing system when the first system's resources are exceeded, ensuring continuous operation by load balancing and redirecting traffic.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If quantum computing systems increase computing resources to handle heavy load, then service capacity and throughput are improved, but system complexity and resource allocation difficulty increase

Engineering Contradiction:

Improveservice capacityVSAvoidresource allocation difficulty

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent implements self-service through an autoscaling mechanism where the quantum computing system automatically monitors its own resource utilization and provisions additional qubits without human intervention. The system detects when computing resources are insufficient and autonomously allocates additional resources from a pool of available qubits, eliminating the need for manual resource management and reducing operational complexity.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent employs feedback mechanisms where the system continuously monitors computing resource utilization metrics and adjusts resource allocation accordingly. When resource usage exceeds thresholds, the system triggers provisioning of additional qubits. This closed-loop feedback control enables dynamic adaptation to varying workloads while maintaining simple and automated resource management.

Inventive Principle:

Principle #23Feedback

2Measurement precision

If quantum computing systems manually allocate computing resources, then resource management precision is improved, but operational complexity and time consumption increase

Engineering Contradiction:

Improveresource management precisionVSAvoidoperational complexity

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The system performs self-service by automatically monitoring resource utilization metrics and triggering provisioning actions without requiring manual intervention. The autoscaling mechanism continuously assesses computing resource needs and autonomously allocates qubits from available pools, maintaining precise resource management while eliminating operational complexity associated with manual provisioning.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent implements preliminary action by maintaining a pre-provisioned pool of available qubits that can be rapidly allocated when needed. This advance preparation of computing resources ensures that when workload increases, the system can immediately provision additional qubits without delay, achieving both precise resource management and operational simplicity.

Inventive Principle:

Principle #10Preliminary action

3Productivity

If quantum services increase capacity to handle more load, then throughput is improved, but reliability decreases when resources become insufficient

Engineering Contradiction:

ImprovethroughputVSAvoidservice failure risk

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The patent applies beforehand cushioning by maintaining a pre-provisioned pool of available qubits that serves as a buffer against resource insufficiency. This reserve of computing resources is prepared in advance and can be rapidly deployed when workload exceeds capacity, preventing service failures and maintaining reliability during high-throughput periods without requiring manual intervention.

Inventive Principle:

Principle #11Beforehand cushioning (Prior cushioning)

Solution Approach 2:

The system provides self-service reliability by automatically detecting when computing resources are insufficient and triggering provisioning of additional qubits from the available pool. This autonomous response ensures continuous service availability and maintains reliability during peak demand periods, eliminating the risk of service failure associated with manual resource management.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS20240144071A1Quantum service autoscaling

Publication Date: 2024.05.02 RED HAT INC

AI summary

A first quantum computing device receives a first set of computational information that reflects a utilization of computing resources of a first quantum service in a first quantum computing system that exceeds a computing resources threshold. The computing resources of the first quantum service in the first quantum computing system are altered based on the first set of computational information. The first quantum computing device then determines that the utilization of computing resources of the first quantum service in the first quantum computing system continues to exceed the computing resources threshold. The first quantum computing device causes an initiation of a copy of the first quantum service onto a second quantum computing device in a second quantum computing system.