Non-Markovian Noise as a Resource for Suppressing Markovian Errors in Superconducting Qubits

Non-Markovian noise environments, i.e. environments with temporal correlation, are well known to have detrimental effects on quantum computational tasks with superconducting qubits. In recent years, there has been intensive interest on characterizing such environments, and on active control protocols to eliminate their effects. In this talk, we present computational and experimental results showing that non-Markovian noise can indeed be used to improve the coherence of a qubit embedded in a purely Markovian noisy background. We further show that our quantum trajectory simulations enable us to find the memory kernel function that offers the best improvement in qubit coherence. We compare these computational/experimental results with theoretical predictions of the corresponding master equation and show that this stochastic error correction scheme yields even better performance than predicted by theory. We finally discuss how this method compares with conventional error correcting schemes and how our results provide a powerful tool in controlling and engineering qubit dissipation processes.