  As the size of quantum hardware progressively increases, the conjectured
computational advantages of quantum technologies tend to be threatened by
noise, which randomly corrupts the design of quantum logical gates. Several
methods already exist to reduce the impacts of noise on that matter. However, a
reliable and user-friendly one to reduce the noise impact has not been
presented yet. Addressing this issue, this paper proposes a relevant method
based on evolutionary optimisation and modulation of the gate design. This
method consists of two parts : a model of quantum gate design with
time-dependent noise terms, parameterised by a vector of laser phases, and an
evolutionary optimisation platform aimed at satisfying a trade-off between the
gate fidelity and a pulse duration-related metric of the time consuming
simulation model. This feature is the main novelty of this work. Another
advantage is the ability to treat any noise spectrum, regardless of its
characteristics (e.g., variance, frequency range, etc). A thorough validation
of the method is presented, which is based on empirical averaging of random
gate trajectories. It is shown that evolutionary based method is successfully
applied for noise mitigation. It is expected that the proposed method will help
designing more and more noise-resisting quantum gates.
