Evolutionary computation for adaptive quantum device design.

As Noisy Intermediate-Scale Quantum (NISQ) devices grow in number of qubits, determining good or even adequate parameter configurations for a given application, or for device calibration, becomes a cumbersome task. We present here an evolutionary algorithm that allows for the automatic tuning of the parameters of a spin network (an arrangement of coupled qubits) for a given task. We exemplify the use of this algorithm with the design schemes for two quantum devices: a quantum wire and a multi-qubit gate. The designs obtained by our algorithm exploit the natural dynamics of the system and perform such tasks with fidelities of 99.7% for the state transfer through a quantum wire and 99.8% for the application of a controlled-phase gate. Such designs were previously unknown, with this wire scheme able to transfer quantum information with high fidelity in a shorter time than previous spin chain designs of the same length. With such encouraging results, our approach has the potential to become a powerful technique in the design and calibration of NISQ devices.