Загрузка страницы
Все видеоНовые видеоПопулярные видеоКатегории видео

Ryan Babbush - Searching for valuable applications of fault-tolerant quantum computers in chemistry

Recorded 09 November 2023. Ryan Babbush Google Quantum AI presents "Searching for valuable applications of fault-tolerant quantum computers in chemistry" at IPAM's Many-body Quantum Systems via Classical and Quantum Computation Workshop.
Abstract: The ultimate dream of quantum computing, and the plan of record for many industrial efforts, is to build a fault-tolerant quantum computer. Such a device would be scientifically fascinating, but what valuable and classically intractable applications would it actually enable? This talk will survey work that the quantum algorithms team at Google has done to answer this question as it pertains to chemistry by developing, compiling, and benchmarking the most promising applications of quantum computers in chemistry and materials science. The talk will touch on algorithm development and the feasibility of applications in electronic structure, quantum dynamics, warm dense matter and simulating certain classical models of molecular vibrations.
Learn more online at: https://www.ipam.ucla.edu/programs/workshops/workshop-iii-many-body-quantum-systems-via-classical-and-quantum-computation/

Видео Ryan Babbush - Searching for valuable applications of fault-tolerant quantum computers in chemistry канала Institute for Pure & Applied Mathematics (IPAM)
Показать
Комментарии отсутствуют
Введите заголовок:

Введите адрес ссылки:

Введите адрес видео с YouTube:

Зарегистрируйтесь или войдите с
Информация о видео
10 ноября 2023 г. 4:54:29
00:52:45
Institute for Pure & Applied Mathematics (IPAM)
Теги
Правообладателям
Жалоба
Комментарии
Другие видео канала
Jaafar El-Awady - dislocation in high thermomechanical condition in Additive Manufacturing of AlloysJaafar El-Awady - dislocation in high thermomechanical condition in Additive Manufacturing of AlloysVikram Gavini - Fast, Accurate and Large-scale Ab-initio Calculations for Materials ModelingVikram Gavini - Fast, Accurate and Large-scale Ab-initio Calculations for Materials ModelingBistra Dilkina - Machine Learning for MIP Solving - IPAM at UCLABistra Dilkina - Machine Learning for MIP Solving - IPAM at UCLAAmit Acharya - Slow time-scale behavior of fast microscopic dynamics - IPAM at UCLAAmit Acharya - Slow time-scale behavior of fast microscopic dynamics - IPAM at UCLAEran Rabani - Stochastic Density Functional Theory - IPAM at UCLAEran Rabani - Stochastic Density Functional Theory - IPAM at UCLADeanna Needell - Using Algebraic Factorizations for Interpretable Learning - IPAM at UCLADeanna Needell - Using Algebraic Factorizations for Interpretable Learning - IPAM at UCLAXavier Bresson - Learning to Untangle Genome Assembly Graphs - IPAM at UCLAXavier Bresson - Learning to Untangle Genome Assembly Graphs - IPAM at UCLAJack Gilbert: "Microbiome of the Built Environment"Jack Gilbert: "Microbiome of the Built Environment"John Harrison - Formalization and Automated Reasoning: A Personal and Historical PerspectiveJohn Harrison - Formalization and Automated Reasoning: A Personal and Historical PerspectiveRaymond Clay - Machine Learning in Equation of State and Transport Modeling at Extreme ConditionsRaymond Clay - Machine Learning in Equation of State and Transport Modeling at Extreme ConditionsRose Yu - Incorporating Symmetry for Learning Spatiotemporal Dynamics - IPAM at UCLARose Yu - Incorporating Symmetry for Learning Spatiotemporal Dynamics - IPAM at UCLAYongsoo Yang - Neural network-assisted atomic electron tomography - IPAM at UCLAYongsoo Yang - Neural network-assisted atomic electron tomography - IPAM at UCLAMargaret Murnane - Attosecond Quantum Technologies for Advanced Materials Metrologies - IPAM at UCLAMargaret Murnane - Attosecond Quantum Technologies for Advanced Materials Metrologies - IPAM at UCLAAlbert Fannjiang - From Tomographic Phase Retrieval to Projection Tomography - IPAM at UCLAAlbert Fannjiang - From Tomographic Phase Retrieval to Projection Tomography - IPAM at UCLAThomas Swinburne - Learning uncertainty-aware models of defect kinetics at scale - IPAM at UCLAThomas Swinburne - Learning uncertainty-aware models of defect kinetics at scale - IPAM at UCLAKevin Kelly - Machine Learning Enhanced Compressive Hyperspectral Imaging - IPAM at UCLAKevin Kelly - Machine Learning Enhanced Compressive Hyperspectral Imaging - IPAM at UCLADemetri Psaltis - Machine Learning for 3D Optical Imaging - IPAM at UCLADemetri Psaltis - Machine Learning for 3D Optical Imaging - IPAM at UCLAPaola Gori-Giorgi - Large-coupling strength expansion in DFT and Hartree-Fock adiabatic connectionsPaola Gori-Giorgi - Large-coupling strength expansion in DFT and Hartree-Fock adiabatic connectionsBohua Zhan - Verifying symbolic computation in the HolPy theorem prover - IPAM at UCLABohua Zhan - Verifying symbolic computation in the HolPy theorem prover - IPAM at UCLAXiantao Li - A stochastic algorithm for self-consistent calculations in DFT - IPAM at UCLAXiantao Li - A stochastic algorithm for self-consistent calculations in DFT - IPAM at UCLAPascal Van Hentenryck - Fusing Machine Learning and Optimization - IPAM at UCLAPascal Van Hentenryck - Fusing Machine Learning and Optimization - IPAM at UCLA
Статистика портала
Яндекс.Метрика
© 2008-2024 «Информационно-развлекательный портал города Верхняя Салда»
| Карта портала | Реклама | Контакты | Сообщить об ошибке | Соглашения
salda.ws salda.ws@mail.ru
Сейчас на сайте: 512 Статистика портала