Abstract
Quantum computers have the potential to outperform classical computers in a variety of tasks ranging from combinatorial optimization to machine learning to intrinsically evading the sign problem. However, current intermediate-scale quantum devices still suffer from a considerable level of noise. This talk will introduce different sources of noise and their mitigation techniques, with a particular focus on the final qubit measurement. While measurement error mitigation techniques are usually only applicable to a small number of qubits, the talk presents a novel method that can be applied to any operator, any number of qubits, and any realistic bit-flip probability. The experimental realization of the method is demonstrated on IBM quantum hardware, reducing the final measurement error by up to one order of magnitude.
