PPT-Tensor train algorithms for quantum dynamics simulations of excited state

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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. IndexTopicarraytensor,1%*t%(tensor),1%t*%(tensor),1%t*t%(tensor),1aperm,2matmult,2tensor,14 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 . He Zhang. 1. , He Huang. 2. , . Rui. Li. 1. , . Jie. Chen. 1. , Li-Shi Luo. 2. Jefferson Lab. Old Dominion University. FEIS-2, 05/15/2015. Outline. He Zhang. ---. 3. ---. Introduction of FMM. He Zhang. geometry. From superconducting. qubits. to . spin chains. Michael . Kolodrubetz. , Physics . Department, Boston University. Theory collaborators: . Anatoli. . Polkovnikov. (BU), Vladimir . Gritsev. Overview. Theory. Basic . physics. Tensor. Diffusion . imaging . Practice. How . do you do DTI?. . Tractography. . DTI . in . FSL and other programs. Diffusion . Tensor Imaging. Brownian motion. 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 . Overview. Theory. Basic . physics. Tensor. Diffusion . imaging . Practice. How . do you do DTI?. . Tractography. . DTI . in . FSL and other programs. Diffusion . Tensor Imaging. Brownian motion. Dung Nguyen. Chicago 19. th. January. Content. Motivation . Quantum bit (qubit) vs Classical bit (bit). Quantum Computation . Quantum Communication. Conclusion. Motivation. The end of Moore’s law scaling in silicon (because of quantum effects of particle at scale smaller than 7nm).. K. Sengupta. Indian Association for the Cultivation of Science, Kolkata. Collaborators: . Diptiman. . Sen. , . Shreyoshi. . Mondal. , Christian . Trefzger. . Anatoli. . Polkovnikov. , . . near the ground states of nuclei. = Study by . 16. O(p,pd). 14. N reaction =. Isao Tanihata, H. J. Ong, s. Terashima and E443 collaboration at RCNP. IRCNPC and SPNEE, Beihang University, Beijing, China. Alper Sarikaya. Advised by Prof. Dave Bacon. Computer Science & Engineering. Chemistry. University of Washington. Undergraduate Research Symposium. May 15, . 2009. Quantum Computing Theory Group: . Elena Long. High Energy Nuclear Physics With . Spectator Tagging, ODU. March 11. th. , 2015. 1. 03/11/2015. Spectator Tagging Workshop . . Elena Long <ellie@jlab.org>. Today’s Discussion. Background. ” Workshop is to discuss theoretical and experimental hot issues related to quantum physics, from foundational issues (such as findings and ideas to investigate quantum effects in biological systems. The Workshop is supported by . from . axion. -gauge couplings. Ippei. Obata (Kyoto University. , PhD. ). (in preparation). 29_Nov_. CosPA2016. Primordial GWs. . from the inflation. Energy scale of . early Universe. Red-tilted.. Parity-symmetric..

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