Hybrid Classical Quantum Computing Multiphysics Solver
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Solution Overview
Problem
Classical computing devices face challenges in efficiently solving multiphysics problems, which require high accuracy and computational resources, often leading to lengthy calculations or inability to solve certain problems.
Innovation Solution
A hybrid device and method combining classical computing and quantum computing, where the classical computing device handles initial value and boundary condition calculations, and the quantum computing device solves complex multiphysics problems, with the solutions being matched and visualized for accurate results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of grids is increased to improve accuracy, then measurement precision is improved, but calculation time increases significantly
Solution Approach 1:
The patent segments the multiphysics problem into distinct physics domains (e.g., structural mechanics, fluid dynamics, heat transfer) that can be solved independently or in parallel. This segmentation allows the system to avoid the computational burden of fully coupled finite element analysis while maintaining accuracy through domain-specific solution methods.
Solution Approach 2:
The patent introduces an intermediary coupling mechanism that connects different physics domains through boundary conditions and interface equations. This intermediary approach allows each domain to be solved separately with appropriate boundary conditions, reducing the overall computational complexity compared to solving all domains simultaneously with fine grids.
2Productivity
If classical computing is used to solve multiphysics problems, then device complexity is low, but productivity is insufficient for complex problems
Solution Approach 1:
The patent merges classical computing resources with quantum computing resources into a hybrid computing system. The classical computing component handles problem formulation, boundary conditions, and post-processing, while the quantum computing component accelerates the solution of specific physics equations, achieving high productivity without requiring a fully quantum system.
Solution Approach 2:
The patent creates a universal computing framework that can handle multiple physics domains (structural, thermal, fluid, electromagnetic) through a common hybrid computing architecture. This multi-functional system can adapt to different problem types by configuring appropriate classical and quantum algorithms for each physics domain.
Data Source
AI summary
A device comprises: a classical computing device; a quantum computing device; a memory for storing one or more programs; and a processor communicating with the memory to execute the one or more programs and control the classical computing device and the quantum computing device. The processor may: obtain the boundary condition and respective initial values of a plurality of points of a geometric structure with respect to an object, by means of the classical computing device; obtain solutions to respective multi-physics problems of the plurality of points on the basis of the obtained boundary condition and respective initial values of the plurality of points, by means of the quantum computing device; and map the obtained solutions to the multi-physics problems to respective plurality of points by means of the classical computing device.