Speaker
Lena Funcke
(Perimeter Institute)
Description
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. In this talk, we present a novel technique to mitigate measurement noise, which is based on classical bit-flip correction. The method can be extended to other errors sources beyond measurement noise, with overhead costs that scale polynomially in the number of qubits for local Hamiltonians. We demonstrate the experimental realization of the method on IBM quantum hardware, reducing the final measurement error by up to one order of magnitude.
Primary authors
Lena Funcke
(Perimeter Institute)
Tobias Hartung
(University of Bath)
Karl Jansen
(DESY Zeuthen)
Stefan Kuehn
(The Cyprus Institute)
Paolo Stornati
(DESY Zeuthen and Humboldt University of Berlin)
Xiaoyang Wang
(Peking University)
