2021
DOI: 10.1103/physreva.103.012611
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Relationship between costs for quantum error mitigation and non-Markovian measures

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Cited by 23 publications
(23 citation statements)
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“…Our results offer various new research directions. Non-Markovian dynamics have shown promise in decreasing sampling costs in error metigation [51]. Since non-Markovianity is known to be deeply related to the trace distance [52], our newly established relations between trace distance and quantum error mitigation hint at promising relations between the two fields.…”
Section: Discussionmentioning
confidence: 95%
“…Our results offer various new research directions. Non-Markovian dynamics have shown promise in decreasing sampling costs in error metigation [51]. Since non-Markovianity is known to be deeply related to the trace distance [52], our newly established relations between trace distance and quantum error mitigation hint at promising relations between the two fields.…”
Section: Discussionmentioning
confidence: 95%
“…However, they require the knowledge of the unitary operator that prepares the state of interest and assume that the noise affecting the state and its dual are similar. The increased depth of the circuit can be problematic for the latter assumption in the presence of non-Markovian errors [30].…”
Section: Error Mitigation Using Multiple Copiesmentioning
confidence: 99%
“…With the rapid progresses of quantum computing and quantum simulation technologies [23][24][25][26][27], the top down approach alone is no longer satisfying, since the noises on those quantum devices could be extremely difficult to know before hand. In the mean time, there is an increasing need for a quantitive description of the noises on near-term quantum devices, such as to characterize the overall fidelities of noisy quantum experiments, or for error correction and error mitiga-tion [28][29][30][31]. Therefore an efficient way to characterize the (non-Markovian) open quantum dynamics based only on the experimentally accessible quantities, instead of resorting to the top down approach, is highly desirable.…”
Section: Process Tensor Framework For Mqementioning
confidence: 99%