Quantum Compiler Mapping Logic to Block Controllers
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Solution Overview
Problem
Existing quantum computing development technologies face challenges in developing and reusing applications across different quantum computing resources due to structural differences, command availability, communication latency, and resource availability.
Innovation Solution
A system comprising a compiler component that maps logical references to quantum bit data structures to engine components, and a deployment component that deploys these engine components to block controller components connected to quantum computing resources, enabling efficient development and deployment of applications across various quantum computing resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a unique compiler is created for each quantum backend computing resource, then the application can be optimized for that specific resource, but the development time and system complexity increase significantly
Solution Approach 1:
The patent implements a universal compiler that can compile quantum applications for multiple different quantum backend computing resources. The compiler includes a quantum application compiler that generates intermediate representation code, which is then optimized and translated for specific target platforms. This allows a single compiler to serve multiple quantum backends with different structures, command sets, and resource characteristics, eliminating the need to create unique compilers for each resource while maintaining optimization capabilities.
2Reliability
If a unique compiler is created for each quantum backend computing resource, then the application can be optimized for that specific resource, but the system complexity increases
Solution Approach 1:
The patent segments the compilation process into distinct modular components: a quantum application compiler that generates intermediate representation, a quantum instruction set architecture layer, and backend-specific optimization passes. This segmentation allows the compiler to handle different quantum backend characteristics through separate, specialized modules rather than requiring completely different compilers for each backend, thereby reducing overall system complexity while maintaining optimization capabilities.
3Productivity
If applications are adapted for different quantum computing resources, then resource-specific performance is improved, but the adaption process becomes time-consuming and complex
Solution Approach 1:
The patent performs preliminary actions by pre-defining quantum instruction set architectures and pre-compiling applications to intermediate representation that is platform-agnostic. The compiler prepares optimization strategies and instruction mappings in advance for multiple target platforms, so that when deployment is required, the application can be quickly adapted to specific quantum backends without time-consuming manual reconfiguration or rewriting.
Data Source
AI summary
Systems, computer-implemented methods, and computer program products to facilitate mapping conditional execution logic to different quantum computing resources are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a compiler component that maps a logical reference to a quantum bit data structure in an instruction, to a first engine component, and a deployment component that deploys the first engine component to a first block controller component operatively connected to a first quantum computing resource, wherein the first engine component controls the first quantum computing resource based on the instruction.