Quantum Service Request Optimization via Qubit Type Simulation

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Solution Overview

Problem

Quantum computing systems face challenges in optimizing quantum processing due to the varying characteristics of different qubit types and environmental conditions, which affect the execution of quantum service requests across multiple quantum computing devices.

Innovation Solution

A classical computing system simulates the execution of quantum service requests using simulator processes based on hardware profiles of quantum computing devices, including qubit type, to optimize processing by identifying optimal qubit types and devices for efficient execution.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If quantum service requests are executed on multiple quantum computing devices with different qubit types, then the system can handle diverse computational workloads, but the varying characteristics of different qubit types and environmental conditions make it difficult to optimize execution efficiency and minimize errors

Engineering Contradiction:

Improveability to handle diverse computational workloadsVSAvoidexecution efficiency and error rate

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The system performs preliminary simulation of quantum service requests on multiple quantum computing devices before actual execution. Simulator processes replicate hardware profiles including qubit types and environmental conditions to predict execution outcomes, allowing the system to pre-determine optimal device assignments and mitigate potential errors before they occur during actual quantum computation.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms by analyzing simulation results to determine optimal quantum computing device assignments. The simulator processes provide feedback information about expected performance, error rates, and resource utilization, which is then used to make informed decisions about which devices should execute which quantum service requests, continuously improving execution efficiency.

Inventive Principle:

Principle #23Feedback

2Productivity

If the system simulates execution on multiple quantum computing devices to determine optimal qubit types, then processing efficiency is improved, but the complexity of managing multiple simulator processes and hardware profiles increases

Engineering Contradiction:

Improveprocessing efficiencyVSAvoidcomplexity of managing simulator processes

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system segments the quantum computing infrastructure into independent simulator processes, each representing a specific quantum computing device with its own hardware profile. This segmentation allows parallel simulation of multiple devices without requiring complex coordination between them, as each simulator process operates independently with its own qubit type and environmental characteristics, simplifying the overall management complexity.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system creates virtual copies of quantum computing devices through simulator processes that replicate hardware profiles. Instead of physically configuring multiple quantum devices for simulation, the system copies the essential characteristics (qubit types, environmental conditions) into software-based simulator processes, significantly reducing the complexity of managing simulation infrastructure while maintaining accuracy.

Inventive Principle:

Principle #26Copying

3Adaptability or versatility

If different qubit types are used across quantum computing devices, then the system can optimize for specific computational tasks, but environmental conditions affect execution differently making it challenging to ensure consistent performance

Engineering Contradiction:

Improveoptimization for specific computational tasksVSAvoidexecution consistency across devices

Core Design Contradiction:

Adaptability or versatilityVSStability of the object's composition

Solution Approach 1:

The system applies local quality by tailoring simulation and execution parameters to match the specific characteristics of each quantum computing device's qubit type and environmental conditions. Each simulator process is configured with the hardware profile of its corresponding quantum device, including qubit type-specific parameters and environmental factors, allowing optimized execution for each device's unique properties while maintaining overall system consistency.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS20230196171A1Optimizing quantum processing by qubit type

Publication Date: 2023.06.22 RED HAT INC

AI summary

Optimizing quantum processing by qubit type is provided herein. In particular, a classical computing system receives a first quantum service request executable by a quantum computing system, including a plurality of quantum computing devices. Each quantum computing device of the plurality of quantum computing devices includes a plurality of qubits of a qubit type. The classical computing system provides the first quantum service request to each of a plurality of simulator processes executing on the classical computing system for a simulated execution of the first quantum service request. Each simulator process of the plurality of simulator processes is based on a hardware profile of one of the plurality of quantum computing devices. The hardware profile includes the qubit type of the plurality of qubits. The classical computing system receives, from each simulator process of the plurality of simulator processes, first simulation results of execution of the first quantum service request.