Method and system of enhanced hybrid quantum-classical computing mechanism for solving optimization problems

A method of enhanced hybrid quantum-classical computing mechanism for solving optimization problems, comprising;

• altering, through a quantum processor unit (QPU) alter a value of a configuration chromosome by storing an angle memory on a shared classical memory,
• wherein the angle memory corresponds to a predefined configuration chromosome;
• generating a state vector based on the angle memory;
• reinitializing a quantum circuit from the state vector;
• generating at least two most probable configuration chromosome from the reinitialized quantum circuit corresponding to a superposition of qubits in a position chromosome;
• selecting one of the at least two most probable configuration chromosomes for each position chromosome after evaluation by a fitness function.

A computer program product of enhanced hybrid quantum-classical computing mechanism for solving optimization problems, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions are executable by a processor to cause the processor to:

• alter, through a quantum processor unit (QPU) alter a value of a configuration chromosome by storing an angle memory on a shared classical memory,
• wherein the angle memory corresponds to a predefined configuration chromosome;
• generate a state vector based on the angle memory;
• reinitialize a quantum circuit from the state vector;
• generate at least two most probable configuration chromosome from the reinitialized quantum circuit corresponding to a superposition of qubits in a position chromosome;
• select one of the at least two most probable configuration chromosomes for each position chromosome after evaluation by a fitness function.