Description
Overcoming the influence of noise and imperfections is a major challenge in quantum computing. Here, we present an approach based on applying a desired unitary computation in superposition between the system of interest and some auxiliary states. We show how superposed applications of the same operation lead to significant noise mitigation when arbitrary noise processes are considered. We analyze the underlying mechanisms behind this effect and demonstrate its potential applications in diverse contexts, including randomized benchmarking and entanglement purification.
Primary author
Jorge Miguel Ramiro
(Innsbruck University)
Co-authors
Wolfgang Dür
(University of Innsbruck)
Prof.
Christine Muschik
(University of Waterloo)
Dr.
Luca Dellantonio
(University of Exeter)
Alexander Pirker
(University of Innsbruck)
Dr.
Zheng Shi
(University of Waterloo)
Albie Chan
(University of Waterloo)
