Quantum Circuit Compilation via Functional Block Library Selection
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Solution Overview
Problem
Quantum programs face challenges in performance enhancement and efficient implementation due to the complexity of compiling functional-level programs into executable gate-level representations, particularly in optimizing resource utilization and adhering to hardware constraints.
Innovation Solution
A functional-level processing component is introduced to translate high-level quantum circuits into optimized gate-level representations by selecting appropriate implementations from a library based on properties such as qubit usage, entanglement, and error rates, using pre-processing operations and constraint satisfaction problems to optimize resource allocation and compliance with hardware constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If functional-level quantum programs are compiled directly into gate-level representations, then the compilation process becomes complex and time-consuming, but resource utilization optimization is lost
Solution Approach 1:
The patent segments the compilation process into distinct stages: functional-level representation, gate-level representation, and circuit optimization. By dividing the complex compilation task into manageable segments, the system can optimize resource utilization at each stage without overwhelming computational complexity, thereby improving both compilation efficiency and resource optimization.
Solution Approach 2:
The patent performs preliminary actions by pre-defining functional blocks and their corresponding gate-level implementations in a library. This allows the compiler to select from pre-optimized options rather than generating circuits from scratch, significantly reducing compilation time while maintaining resource optimization through careful selection of pre-characterized implementations.
2Adaptability or versatility
If auxiliary qubits are used for temporary computations, then computational flexibility is improved, but the number of available qubits is reduced
Solution Approach 1:
The patent implements systematic management of auxiliary qubits by tracking their usage throughout the circuit execution and identifying opportunities to reuse them. The system recovers auxiliary qubits by detecting when they are no longer needed and making them available for subsequent operations, thereby increasing the effective number of available qubits while maintaining computational flexibility.
Solution Approach 2:
The patent changes the temporal parameters of qubit usage by optimizing the timing of auxiliary qubit allocation and release. By carefully controlling when auxiliary qubits are introduced and removed from active use, the system maximizes their utility while minimizing their occupation time, effectively increasing the number of simultaneously available qubits for other computations.
3Adaptability or versatility
If multiple alternative implementations are provided in the function library, then selection flexibility is improved, but the library size and complexity increase
Solution Approach 1:
The patent applies local quality by characterizing each implementation in the function library with specific local properties such as qubit requirements, gate depth, and error rates. This allows the compiler to make informed selections based on the specific requirements of each computational context, providing flexibility without requiring the entire library to be uniformly complex. Each implementation is optimized for its specific local characteristics.
Data Source
AI summary
A method, system and product comprising: obtaining a functional-level representation of a quantum circuit that comprises a functional block, wherein the functional block defines an operation of the quantum circuit over at least two cycles; selecting from a function library an implementation for the functional block, wherein the function library comprises a plurality of alternative implementations of the functional block, wherein each implementation of the plurality of alternative implementations is configured to provide a same functionality of the functional block and is applicable to a quantum computer to be used for executing the quantum circuit; and generating a gate-level representation of the quantum circuit that comprises the implementation for the functional block.