У нас вы можете посмотреть бесплатно A quantum computing algorithm to speed up Metropolis sampling или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
Lennard-Jones Centre discussion group seminar by Prof. Guglielmo Mazzola from the University of Zurich. The task of sampling from a multidimensional finite-temperature classical Boltzmann probability distribution is a central problem in numerical simulations of physics, chemistry, and beyond the traditional boundaries of natural sciences. This talk introduces a recent algorithm that can be executed on quantum computers, offering a scaling advantage compared to state-of-the-art Metropolis schemes. In practice, one can leverage the fact that the collapses of a wave function are uncorrelated and use them as trial updates to obtain non-local but effective moves in the configuration space. The algorithm was invented in 2021 for continuous systems, where a rigorous justification can be found. Subsequently, it was adapted to spin systems amenable to hardware implementation, where it has been experimentally demonstrated. Read more: Physical Review A, 104, 022431 (2021): https://journals.aps.org/pra/abstract... arXiv:2203.12497 (2022): https://arxiv.org/abs/2203.12497 The seminar was held on 15th May 2023. 🖥️ Check out our websites: https://linktr.ee/cumaterials