Enhancing qubit readout with Bayesian learning
F. Cosco, Nicola Lo Gullo · Physical Review A · 2023
The authors have developed a scheme to measure the states of qubits with improved efficiency and accuracy. Their method leverages Bayesian inference, creating a probability distribution for each qubit state based on the response of the measurement device. The approach is able to embed the effects of different sources of noise which affect current quantum computers, thus improving results of quantum computation.