Quantum Adaptive Circuit Dispatcher for Execution Efficiency
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Solution Overview
Problem
The limited number of quantum computers available leads to inefficiencies in executing quantum computer programs due to performance requirements and operation constraints, resulting in queuing and prolonged execution times, which existing technologies struggle to address effectively.
Innovation Solution
A system and method that adapt and assign quantum circuits of queued quantum computer programs based on the parameters of available quantum computers, including modifying connectivity schemes and error rate management to optimize execution efficiency and workload balancing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If quantum computer programs are executed on limited quantum computers without adaptation, then the quantum computers can run programs with their native parameters, but the execution time increases and queues form due to mismatched parameters
Solution Approach 1:
The dispatch component performs preliminary adaptation of quantum circuits to match the parameters of available quantum computers before execution. This includes pre-processing the quantum circuit to adjust connectivity schemes and other parameters to comply with the target quantum computer's constraints, avoiding delays during actual execution.
Solution Approach 2:
The system dynamically changes parameters of quantum circuits to match the specific parameters of available quantum computers. The dispatch component modifies connectivity schemes, qubit mappings, and other circuit parameters to align with the target quantum computer's capabilities, enabling efficient execution without reconfiguration delays.
2Productivity
If quantum circuits are adapted to match quantum computer parameters, then execution efficiency improves, but the complexity of the dispatch system increases
Solution Approach 1:
The dispatch component incorporates automated self-service mechanisms that dynamically adapt quantum circuits without requiring manual intervention. The system automatically analyzes quantum computer parameters, adjusts circuit configurations, and manages queue assignments, reducing operational complexity while maintaining high execution efficiency.
Solution Approach 2:
The system implements feedback loops where the dispatch component continuously monitors quantum computer availability, performance metrics, and queue status. This feedback enables dynamic adjustment of circuit adaptation strategies and workload distribution, optimizing efficiency while managing system complexity through data-driven decision-making.
3Ease of operation
If quantum computer programs are queued without parameter matching, then program submission is simple, but workload imbalance and prolonged waiting times occur
Solution Approach 1:
The dispatch component performs preliminary analysis and matching of quantum circuit parameters with available quantum computer parameters before queueing. This pre-matching process ensures that programs are assigned to compatible quantum computers, preventing workload imbalances and reducing waiting times while maintaining simple program submission interfaces.
Data Source
AI summary
Techniques regarding the dispatchment of adapted quantum computer programs are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a dispatch component that can adapt a quantum circuit of a quantum computer program comprised within a queue based on a parameter of a quantum computer that is assigned to execute the quantum computer program.