![]() |
COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. | ![]() |
University of Cambridge > Talks.cam > Quantum Computing for Quantum Chemistry > Bayesian quantum phase estimation with multiple quantum computers
Bayesian quantum phase estimation with multiple quantum computersAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Lila Cadi Tazi. The goal of achieving practical quantum advantage on early fault-tolerant hardware has motivated two repeating themes in the recent design and development of quantum algorithms: (1) splitting large quantum circuits into collections of smaller quantum circuits, and (2) building inherent noise-resilience into algorithms rather than relying solely on error correction. A unique yet largely unexplored opportunity that arises from these properties is the ability to use multiple quantum computers, of differing qubit modalities, for the same problem. In this work, we apply these ideas to Bayesian quantum phase estimation, showing how phase estimation may be accelerated by leveraging the various speed-to-accuracy tradeoffs inherent to different qubit modalities. This talk is part of the Quantum Computing for Quantum Chemistry series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsCCFMarine Seminars Cambridge University Technology and Enterprise Club (CUTEC) Open Research CambridgeOther talksTitle TBC Imaging and Design with Differentiable Physics Models TBC Namibia: Etosha National Park & Lithops LCLU Coffee - Ligia F Coelho on "the changing colours of our planet as a tool for ilfe detection on icy moons and exoplanets" On the history of celestial mechanics, climate models and the ‘Pacemaker of the Ice Ages’ paper of 1976: Some lessons on the relations between models, mathematics and data from the empirical climate sciences |