Quantum Program Mapping for Multi-Chip Topology Adaptation
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Solution Overview
Problem
Existing quantum computing platforms face challenges in scalability as quantum programs are often limited to running on designated quantum chips, hindering their adaptability to different quantum computing platforms.
Innovation Solution
A method and apparatus for quantum computing platform adaptation that involves constructing a directed acyclic graph of quantum programs, identifying isomorphic subgraphs, and mapping them onto a quantum chip's topological structure to create a scalable quantum circuit adaptable across various quantum chips.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If quantum programs are designed to run on designated quantum chips, then the quantum programs can execute reliably on specific hardware, but the scalability and adaptability to different quantum computing platforms are reduced
Solution Approach 1:
The patent applies universality by creating a quantum operating system that can manage and execute quantum programs across multiple different quantum chip architectures. The QOS provides a unified interface layer that translates between abstract quantum program representations and the specific hardware requirements of different quantum platforms, enabling one quantum program to run on multiple chip types without modification.
Solution Approach 2:
The quantum operating system acts as an intermediary between the quantum program and the physical quantum chip. It includes components like the quantum compiler, scheduler, and resource manager that mediate the interaction, translating high-level quantum operations into hardware-specific instructions while managing quantum resources abstractly. This mediator layer decouples the program from hardware specifics, enabling portability.
2Productivity
If separate quantum software is developed for each quantum chip, then the software can be optimized for specific hardware performance, but the development workload and system complexity increase significantly
Solution Approach 1:
The patent segments the quantum software stack into distinct layers: a hardware-independent quantum program layer, a quantum operating system layer with compilation and scheduling functions, and a hardware-specific execution layer. This segmentation allows each layer to be developed and optimized independently, reducing overall system complexity while enabling hardware-specific optimizations in the lower layers without affecting upper layers.
Solution Approach 2:
The quantum operating system is designed as a universal platform that handles multiple functions across different quantum chip types. It provides unified resource management, compilation, and scheduling capabilities that work across various quantum hardware architectures, eliminating the need for separate software development for each chip while still allowing hardware-specific optimizations through the intermediary layer.
3Adaptability or versatility
If quantum programs are adapted to different quantum computing platforms, then the scalability of quantum software is improved, but the complexity of platform adaptation increases
Solution Approach 1:
The quantum operating system serves as an intermediary that automatically handles the adaptation process between quantum programs and different platforms. It includes automated compilation and translation components that convert abstract quantum operations into platform-specific instructions, reducing the manual adaptation complexity while maintaining scalability across multiple quantum chip architectures.
Solution Approach 2:
The system manages platform adaptation through parameter changes rather than structural modifications. The quantum operating system uses configuration parameters and metadata to describe different quantum chip characteristics, allowing the same quantum program to adapt to different platforms by changing runtime parameters rather than requiring code modifications, thereby reducing adaptation complexity.
Data Source
AI summary
A quantum computing platform adaptation method and apparatus, and a quantum computer operating system are provided. The method includes: acquiring a quantum program to be executed and a topological structure of a quantum chip corresponding to a quantum computing platform, wherein the topological structure is configured to represent physical qubits in an electronic device and a connection relationship between the physical qubits; and adapting the quantum program to the quantum computing platform based on the topological structure. According to some embodiments of the present disclosure, scalability of the quantum program can be improved, so that the quantum program can be adapted to different quantum computing platforms and run on different quantum chips.