Multi-Compiler Quantum OS DAG Resource Optimization
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Solution Overview
Problem
Existing quantum computing systems face inefficiencies in resource utilization due to suboptimal compilation processes that do not account for real-time resource availability on the quantum execution platform.
Innovation Solution
A method involving the generation of an intermediate-level data structure, such as a Directed Acyclic Graph (DAG), by a first software compiler, followed by real-time constraint-based compilation by a second software compiler to create executable quantum circuits that optimize resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single software compiler generates quantum circuits without real-time resource constraints, then the compilation process is simple and fast, but the resource utilization on the quantum execution platform becomes suboptimal
Solution Approach 1:
The compilation process is divided into two distinct stages: a first software compiler that generates an intermediate-level data structure (DAG) without real-time constraints, and a second software compiler that converts this DAG into an executable quantum circuit based on real-time resource availability. This segmentation allows each compiler to focus on specific aspects, improving overall resource utilization while maintaining manageable complexity through clear process separation.
Solution Approach 2:
An intermediate-level data structure (DAG) serves as a mediator between the high-level quantum program and the executable quantum circuit. The DAG represents functionality and precedence constraints without executing them, allowing the second compiler to transform it into resource-optimal circuits by applying real-time constraints without reprocessing the entire high-level program.
2Reliability
If the quantum circuit is generated without considering real-time resource availability, then the compilation time is reduced, but the quality of quantum states and resource usage deteriorates
Solution Approach 1:
The first software compiler performs preliminary action by generating the intermediate-level DAG data structure before the second compiler executes real-time optimization. This preliminary generation captures the essential functionality and precedence constraints, allowing the second compiler to focus solely on resource optimization without reprocessing the entire program, thus maintaining high quantum state quality while limiting time loss to only the optimization stage.
3Adaptability or versatility
If multiple quantum circuits are generated for different executions, then resource optimization for each execution is improved, but the computational resources required for compilation increase
Solution Approach 1:
Instead of copying the entire high-level quantum program for each execution, the system copies and transforms only the intermediate-level DAG representation. The second compiler generates different executable quantum circuits from the same DAG by applying different real-time resource constraints, significantly reducing computational resources required while maintaining adaptability to varying execution conditions.
Data Source
AI summary
A method, apparatus and product comprising: generating, by a first software compiler, an intermediate-level data structure based on a quantum program, the intermediate-level data structure is a Directed Acyclic Graph (DAG) that is a non-executable representation of the quantum program; initiating a first execution of the quantum program at the quantum execution platform by: obtaining, at a second software compiler, first real-time constraints on an availability of resources of the quantum execution platform for the first execution; generating, based on the first real-time constraints, a first quantum circuit that implements the DAG; and providing the first quantum circuit to the quantum execution platform to be executed thereon; and initiating a second execution of the quantum program at the quantum execution platform by: obtaining second real-time constraints on an availability of resources; generating a second quantum circuit; and providing the second quantum circuit to the quantum execution platform.