Differential QUBO Transmission Using Cached Reference Matrices
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Solution Overview
Problem
Existing quantum annealing (QA) systems face high costs and resource demands for transmitting Quadratic Unconstrained Binary Optimization (QUBO) problems due to their large-scale requirements, limiting their accessibility and efficiency, especially in resource-constrained environments like drones or satellites.
Innovation Solution
Implementing differential coding and caching techniques to transmit QUBO differences (QUBOdiff) between client nodes and servers, leveraging cached reference QUBO matrices (QUBOref) to reduce transmission costs and resource usage by reconstructing QUBOs at the server side.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If QUBO problems are transmitted in full format from client nodes to servers, then the server can solve the optimization problems accurately, but the communication costs and resource consumption increase significantly
Solution Approach 1:
The patent extracts only the differential portions (QUBOdiff) that contain changes from the reference QUBO, rather than transmitting the entire QUBO matrix. This extraction principle reduces the data volume significantly while preserving the essential information needed to reconstruct the current QUBO state at the server side by combining QUBOdiff with the cached QUBOref.
Solution Approach 2:
The server performs preliminary action by caching the reference QUBO (QUBOref) in advance. This cached reference is then used to reconstruct the current QUBO when receiving only the differential data, eliminating the need to transmit the full QUBO matrix and reducing communication costs while maintaining solution accuracy.
2Productivity
If quantum annealing hardware is used to solve large-scale optimization problems, then the solving capability is enhanced, but the physical space and energy consumption requirements become prohibitive
Solution Approach 1:
The patent segments the QUBO transmission process into two parts: the cached reference QUBO (QUBOref) stored on the server, and the differential portion (QUBOdiff) transmitted from the client. This segmentation allows the system to leverage quantum annealing hardware for solving complex problems while minimizing the data transmission burden and associated energy costs.
Solution Approach 2:
The reference QUBO (QUBOref) cached on the server acts as an intermediary that bridges the client and quantum annealing hardware. By using this intermediary, the system reduces the amount of data that needs to be transmitted and processed, thereby lowering energy consumption while maintaining the ability to solve large-scale optimization problems.
3Loss of information
If QUBO problems are transmitted in full format, then complete problem information is available for solving, but the data transmission volume and processing overhead increase
Solution Approach 1:
The patent extracts only the essential differential information (QUBOdiff) that represents changes from the reference QUBO, rather than transmitting the complete QUBO matrix. This extraction maintains problem information completeness for accurate solving while significantly reducing the data transmission volume.
Solution Approach 2:
The server performs preliminary action by storing the reference QUBO (QUBOref) in cache before receiving the differential data. This preliminary caching action enables the server to reconstruct the complete current QUBO state locally, ensuring full problem information is available for solving without requiring transmission of the entire data set.
Data Source
AI summary
One example method includes receiving, by a server from a node, a QUBO (quadratic unconstrained binary optimization) matrix, determining, by the server, whether or not the QUBO matrix is a difference QUBO matrix and, when the QUBO matrix is a difference QUBO matrix, searching a cache for a reference QUBO matrix that corresponds to the difference QUBO matrix, and when the reference QUBO matrix is found in the cache, building a QUBO matrix that corresponds to a QUBO to be solved by adding the reference QUBO matrix and the difference QUBO matrix together.