Zobrazeno 1 - 4
of 4
pro vyhledávání: '"G J Ribeill"'
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
Quantum process tomography represents one of the workhorses of quantum information processing, but suffers from exponential resource scaling. Here, the authors propose to efficiently infer general processes by approximating them through a sequence of
Externí odkaz:
https://doaj.org/article/04158d734a05489c9f7057b405121fd3
Publikováno v:
Physical Review Research, Vol 4, Iss 3, p 033007 (2022)
Accelerating computation with quantum resources is limited by the challenges of high-fidelity control of quantum systems. Reservoir computing presents an attractive alternative, as precise control and full calibration of system dynamics are not requi
Externí odkaz:
https://doaj.org/article/232297912d7a429d9e1f2d85f288fb28
Publikováno v:
Physical Review Research, Vol 3, Iss 1, p 013077 (2021)
Realizing the promise of quantum information processing remains a daunting task given the omnipresence of noise and error. Adapting noise-resilient classical computing modalities to quantum mechanics may be a viable path towards near-term application
Externí odkaz:
https://doaj.org/article/5e9c92e01eed44c8a93cdff966318530
The nascent computational paradigm of quantum reservoir computing presents an attractive use of near-term, noisy-intermediate-scale quantum processors. To understand the potential power and use cases of quantum reservoir computing, it is necessary to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e6bfd0738709cf6aa3b1ffb0e769be8
