Evolutionary Reduction of the Laser Noise Impact on Quantum Gates

Evolutionary Reduction of the Laser Noise Impact on Quantum Gates

연구 분야: Infrastructure

학회: International Conference on Complex Computational Ecosystems

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.