Gan-based qubo generator tool

A non-transitory storage medium having stored therein instructions that are executable by one or more hardware processors to perform operations comprising:

• receiving a plurality of Quadratic Unconstrained Binary Optimization (QUBO) instances, each of the plurality of QUBO instances including at least first controllable features and their corresponding feature values and a first uncontrollable structure feature that defines a problem type of each of the plurality of QUBO instances;
• using the first controllable features and the first uncontrollable structure feature of the received plurality of QUBO instances to train a QUBO generation machine-learning (ML) model to generate a QUBO instance;
• receiving a QUBO feature set that includes second controllable features and their corresponding feature values and a second uncontrollable structure feature that defines a problem type of a new QUBO instance;
• and
• generating, by the trained QUBO generation ML model, the new QUBO instance that includes the second controllable features and their corresponding feature values and the second uncontrollable structure feature.

A method, comprising:

• receiving a plurality of Quadratic Unconstrained Binary Optimization (QUBO) instances, each of the plurality of QUBO instances including at least first controllable features and their corresponding feature values and a first uncontrollable structure feature that defines a problem type of each of the plurality of QUBO instances;
• using the first controllable features and the first uncontrollable structure feature of the received plurality of QUBO instances to train a QUBO generation machine-learning (ML) model to generate a QUBO instance;
• receiving an existing QUBO instance that includes at least second controllable features and their corresponding feature values and a second uncontrollable structure feature that defines a problem type of the existing QUBO instance;
• receiving a QUBO modification dataset that specifies modifications that are to be made to one or more of the corresponding feature values of one or more of the second controllable features;
• and
• generating, by the trained QUBO generation ML model, a modified QUBO instance that is a modification of the existing QUBO instance and that includes the one or more of the second one or more controllable features whose corresponding feature values have been modified, other second controllable features whose corresponding feature values were not modified, and the second uncontrollable structure feature.