Computer implemented method for real time quantum compiling based on artificial intelligence

Abstract

A computer implemented method for real time quantum compiling includes a unitary matrix, representing a single-qubit or multi-qubit quantum operation implemented by a quantum computer, to a machine-learning trained algorithm. Information representing a base of quantum gates for building a quantum circuit corresponding to unitary matrix operation, a tolerance parameter, and processing termination information are provided to the algorithm. A quantum circuit is determined including the combination of base quantum gates. The determining is based on a policy encoded in the algorithm by reinforced learning training. Finally, information is provided on the determined quantum circuit, as a result of the real time quantum compiling. The reinforced learning training phase is based on a Reinforced Learning procedure. The Reinforced Learning procedure includes defining an unbiased set of training target unitary matrices, defining training base sets of quantum gates, and executing episodes of the Reinforced Learning procedure.