Problem Model Conversion for Quantum Optimization Workflows
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Solution Overview
Problem
The complexity of real-world problems hinders the effective application of quantum-related computers and PUBO solvers, requiring expertise in multiple fields and significant man-hours for problem conversion and solution inversion, especially due to the divergence between real problem formats and quantum-related computer input formats.
Innovation Solution
An information processing system that supports users in converting real problems into multiple stages of problem models, using a development unit with modeling and programming tools to create conversion and inverse conversion programs, facilitating the use of quantum-related computers for solving combinatorial optimization problems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-world problems are converted into quantum-related computer formats using manual methods, then solution accuracy is improved, but conversion time and expertise requirements increase significantly
Solution Approach 1:
The patent introduces an intermediary conversion system that includes problem description reception means, model conversion means, and program generation means. This intermediary system acts as a bridge between real-world problem descriptions and quantum-related computer input formats, automatically performing the conversion process without requiring manual expertise in quantum mechanics while maintaining accurate problem definition.
Solution Approach 2:
The conversion system is designed to automatically generate conversion programs and problem models without human intervention. The system self-services by receiving problem descriptions, automatically converting them into appropriate quantum-related computer formats, and generating executable programs, thereby eliminating the need for manual conversion efforts and reducing time loss.
2Adaptability or versatility
If multiple quantum-related computers with different input/output formats are supported, then versatility is improved, but system complexity increases
Solution Approach 1:
The patent implements a universal conversion system that can handle multiple quantum-related computer formats (quantum annealing, gate quantum computer, etc.) through a single unified architecture. The model conversion means is designed to adaptively convert problem descriptions into format-specific models based on the target quantum computer type, providing multi-functionality without requiring separate conversion systems for each quantum computer architecture.
Solution Approach 2:
The system manages complexity by dynamically changing parameters such as model types and data structures based on the target quantum computer format. The conversion program generation means adjusts conversion parameters and model representations according to the specific requirements of different quantum-related computers, allowing versatile format support through parameter adaptation rather than structural complexity.
3Manufacturing precision
If expertise in both real-world domain and quantum mechanics is required for conversion, then conversion quality is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs self-service by automatically generating conversion programs and problem models without requiring user expertise in quantum mechanics. The program generation means creates executable conversion programs based on problem descriptions, eliminating the need for users to manually perform complex conversion tasks that previously required specialized knowledge in both the real-world domain and quantum mechanics.
Solution Approach 2:
The conversion system acts as an intermediary that handles the complexity of quantum mechanics internally. Users only need to provide problem descriptions in their natural domain, while the intermediary system manages the quantum mechanics expertise requirements through its automated conversion and program generation capabilities, thereby improving ease of operation without sacrificing conversion quality.
Data Source
AI summary
An information processing device as an embodiment of the present invention is an information processing device that supports obtaining a solution to a problem using a quantum-related computer, and includes: a development unit that executes a modeling tool, which enables a user to describe at least one problem model for a first problem, and a programming tool which enables the user to design a conversion program for converting the first problem into a data format that can be input to the quantum-related computer using the at least one problem model; and a conversion unit that executes the conversion program for an input second problem and converts the second problem into the data format.