Systems and methods for optimizing annealing parameters

A system for use in quantum processing, comprising:

• at least one non-transitory processor-readable medium that stores at least one of processor executable instructions and data;
• and
• at least one processor communicatively coupled to the least one non-transitory processor-readable medium and a quantum processor, and which, in response to execution of the at least one of processor executable instructions and data:
• receives a representation of a computational problem, the representation comprising a plurality of problem values;
• transforms the plurality of problem values based on a plurality of trained parameters of a machine learning model to generate at least a portion of an annealing schedule comprising at least one annealing parameter;
• and
• transmits instructions to the quantum processor that cause the quantum processor to evolve from an initial state to a final state based on the computational problem and the at least a portion of an annealing schedule, wherein the final state provides a result for the computational problem.