PPT-Tensor train algorithms for quantum dynamics simulations of excited state
Author : funname | Published Date : 2020-07-03
nonadiabatic processes and quantum control Victor S Batista Yale University Department of Chemistry amp Energy Sciences Institute 1 NSF DOE NIH AFOSR SIMONS FOUNDATION
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Tensor train algorithms for quantum dynamics simulations of excited state: Transcript
nonadiabatic processes and quantum control Victor S Batista Yale University Department of Chemistry amp Energy Sciences Institute 1 NSF DOE NIH AFOSR SIMONS FOUNDATION 160 Fifth Avenue. Dieter Jaksch. Outline. Lecture 1: Introduction. What defines a quantum simulator? Quantum simulator criteria. Strongly correlated quantum systems.. Lecture 2: Optical lattices. Bose-Einstein condensation, adiabatic loading of an optical lattice. Hamiltonian . Dieter Jaksch. Outline. Lecture 1: Introduction. What defines a quantum simulator? Quantum simulator criteria. Strongly correlated quantum systems.. Lecture 2: Optical lattices. Bose-Einstein condensation, adiabatic loading of an optical lattice. Hamiltonian . Chapter 12. E-mail: . benzene4president@gmail.com. Web-site: http://clas.sa.ucsb.edu/staff/terri/. Quantum – . ch 12. 1. A photon has a frequency (v) of 5.45 x 10. 8. MHz. a. Calculate the photons wavelength (λ) in nm. “. Onset . of a Quantum Phase Transition with a Trapped Ion Quantum Simulator. ,” . . R. . . Islam, . E.E. . Edwards, . K. . Kim, . S. . Korenblit. , . C. . Noh, . H. . J. Carmichael, . G.-D. . Lin, . By Will Welch. For Jan . Kubelka. CHEM 4560/5560. Fall, 2014 . University of Wyoming. Forces on each particle are calculated at time t. The forces provide trajectories, which are propagated for a . small duration of time, . K. Sengupta. Indian Association for the Cultivation of Science, Kolkata. Collaborators: . Shreyoshi. . Mondal. , . Anatoli. . Polkovnikov. , . Diptiman. . Sen. , . Alessandro Silva, . hot atoms. Saikat. Ghosh. Arif. . Warsi, . Niharika. Singh, . Arunabh. Mukherjee. Indian Institute of Technology - Kanpur. Qubits: Superposed atomic states as a resource. Hammerer K, Sorensen A S and . Yu-Shan . Lin (YSL). Department of . Chemistry. Tufts . University. Simulate how molecules move. Molecular dynamics simulations. km. hr. v. . (0). = . =. . 100. = 1000 kg. = . −. 7000 N. m. s. 2. Ultrafast examples:. Photosynthesis. : energy transfer in <200 . fs. Vision. : . isomerization. of retinal in 200 . fs. Dynamics. : ring opening reaction in ~100s . fs. Transition states. : Fe(CO). K. Sengupta. Indian Association for the Cultivation of Science, Kolkata. Collaborators: . Diptiman. . Sen. , . Shreyoshi. . Mondal. , Christian . Trefzger. . Anatoli. . Polkovnikov. , . . By Will Welch. For Jan . Kubelka. CHEM 4560/5560. Spring, 2017. University of Wyoming. Why Molecular Dynamics?. 1. Scale: Large collections of interacting particles that cannot (and should not) be studied by quantum mechanics . NEC Foundation . November 30, 2017. Al Aho. aho@cs.columbia.edu. Software in Our World Today. How . much software does the world use today?. Sizes of Some Software Codebases. . Microsoft. Visual Studio 2012. PHOTOINDUCED . PROTON-COUPLED ELECTRON TRANSFER . PUJA GOYAL. Workshop on. Modular Software Infrastructure for Excited State Dynamics. June 10, 2018. The Light-Dependent Reactions . in Photosynthesis. . Liliana Teodorescu. . Physics vs Computer Science/Engineering. P. hysics. . and . Computer Science/Engineering . have . long . established . mutually . beneficial links. Computer Science/Engineering to Physics.
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