Quantum Compiler Redundancy Removal for QUBO Optimization
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Solution Overview
Problem
Current methods for mapping optimization problems to quantum computers, such as the QUBO model, often result in redundant information, leading to inefficiencies in quantum hardware usage due to the need for hand-tuning and reformulating constraints, which complicates the representation and solution of optimization problems.
Innovation Solution
A method that transforms input data into a reduced quadratic unconstrained binary optimization (QUBO) problem by identifying and removing redundancy, ensuring that only the minimum necessary information is used to encode feasible solutions, thereby optimizing the compilation process for quantum computers without sacrificing solution quality or feasibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the QUBO model is used to represent optimization problems for quantum computers, then the problems can be solved by quantum hardware, but redundant information is introduced leading to increased problem size and reduced computational efficiency
Solution Approach 1:
The patent extracts and removes redundant information from the QUBO problem representation. The system identifies constraints that are already implicitly satisfied by the problem structure and removes them from the explicit constraint set, thereby reducing the QUBO problem size while maintaining solution correctness and improving computational efficiency on quantum hardware
Solution Approach 2:
The patent changes the parameters of the QUBO representation by optimizing the constraint encoding. It transforms the problem representation to use minimal necessary constraints, adjusting the parameter count and structure to eliminate redundancy while preserving the feasible solution space, thus reducing computational overhead
2Manufacturing precision
If hand-tuning of model parameters is performed to ensure correct solutions, then solution accuracy is maintained, but the process becomes time-consuming and requires expert intervention
Solution Approach 1:
The patent implements self-service by enabling the system to automatically identify and remove redundant constraints without human intervention. The automated analysis of the problem structure and constraint relationships allows the system to optimize the QUBO representation independently, maintaining solution accuracy while eliminating the time-consuming manual tuning process
Solution Approach 2:
The patent uses feedback mechanisms to automatically adjust model parameters based on the problem structure analysis. By analyzing the constraints and objective function relationships, the system provides feedback to optimize the QUBO representation, ensuring solution correctness while reducing preparation time through automated parameter selection
3Adaptability or versatility
If constraints are reformulated to match quantum computer model specifications, then the problems become solvable by quantum hardware, but the reformulation process introduces overhead and complexity
Solution Approach 1:
The patent applies preliminary action by pre-processing the optimization problem to identify and remove redundant constraints before quantum compilation. This advance analysis and simplification of the constraint structure reduces the complexity of the reformulation process and prepares a more efficient QUBO representation for quantum hardware execution
Data Source
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AI summary
A method for generating a data package to be computed by a quantum computer, computer program product, computer-readable storage medium as well as electronic computing device Method for generating a data package (5) to be computed by a quantum computer (6) by an electronic computing device (1), comprising the steps of: providing a quadratic unconstrained binary optimization problem (8) for a transforming module (3) of the electronic computing device (1) (S2, S3); retrieving at least one redundancy in the quadratic unconstrained binary optimization problem (8) by a compiler (4) of the electronic computing device (1) (S4); removing the at least one retrieved redundancy from the quadratic unconstrained binary optimization problem (8) to a reduced quadratic unconstrained binary optimization problem (9) by the compiler (4) (S4) and generating the data package (5) to be computed by the quantum computer (6) depending on the reduced quadratic unconstrained binary optimization problem (9) by the compiler (4). (S5) Furthermore, the invention relates to a computer program product, a computer-readable storage medium as well as to an electronic computing device (1).