Using classical bit-flip correction for error mitigation in quantum computations

29 Jul 2021, 07:30
15m
Oral presentation Algorithms (including Machine Learning, Quantum Computing, Tensor Networks) Algorithms (including Machine Learning, Quantum Computing, Tensor Networks)

Speaker

Dr Karl Jansen (DESY)

Description

We demonstrate that classical bit-flip correction can be employed to mitigate measurement errors on quantum computers. Importantly, our method can be applied to any operator, any number of qubits, and any realistic bit-flip probability. Starting with the example of the longitudinal Ising model, we then generalize to arbitrary operators and test our method both numerically and experimentally on IBM quantum hardware. As a result, our correction method reduces the measurement error on the quantum hardware by up to one order of magnitude.

Primary author

Dr Karl Jansen (DESY)

Co-authors

Lena Funcke (Perimeter Institute) Dr Stefan Kühn Paolol Stornati Xiaoyang Wang Tobias Hartung (University of Bath and The Cyprus Institute)

Presentation materials