PPT-Lecture 3: Quantum simulation algorithms

Author : giovanna-bartolotta | Published Date : 2015-10-26

Dominic Berry Macquarie University We want to simulate the evolution The Hamiltonian is a sum of terms   Simulation of Hamiltonians Seth Lloyd 1996 We can perform

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Lecture 3: Quantum simulation algorithms: Transcript


Dominic Berry Macquarie University We want to simulate the evolution The Hamiltonian is a sum of terms   Simulation of Hamiltonians Seth Lloyd 1996 We can perform For short times we . Dominic Berry. Macquarie University. Grover’s search algorithm. Problem:. Given a function . mapping . bits to . bit . , . determine the value of . such that . .. Classically we need to evaluate . 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. interferometry. R. Demkowicz-Dobrzański. 1. , K. Banaszek. 1. ,. . J. Kołodyński. 1. , M. Jarzyna. 1. , . M. Guta. 2. , K. Macieszczak. 1,2. , R. Schnabel. 3. , M. Fraas. 4. 1. Faculty of . Physics. 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. Canada 10. iQST. , . Dongsheng. Wang. Calgary, 12/06/2015. Contents. Motivations: simulators, classifying simulators. Model of Simulation. Quantum Simulation. Classifying Quantum Simulators. Quantum Channel Simulator . 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 . A. ndris . Ambainis. Uni. v. ersity. . of. . Latvia. Joint . w. o. r. k with:. . Scott Aaronson, . Kaspars. . Balodi. s. ,. Aleksandrs Belovs, . T. r. o. y Le. e. , . Miklos . Santha. , . and . J. TRANSITIONS WITHIN THE FUNCTIONAL INTEGRATION . REAL FUNCTIONAL. XXIII International Workshop. On High Energy Physics and Quantum Field Theory. QFTHEP’2017. Yaroslavl, Russia, June 26 – July 3, 2017. and particle physics. NPQI, Argonne. 28 March 2018. A quantum computer can simulate efficiently any physical process that occurs in Nature.. (Maybe. We don’t actually know for sure.). particle collision. Alper Sarikaya. Advised by Prof. Dave Bacon. Computer Science & Engineering. Chemistry. University of Washington. Undergraduate Research Symposium. May 15, . 2009. Quantum Computing Theory Group: . 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. for String Problems. SODA 2022. Shyan. Akmal. MIT. Ce . Jin. MIT. Basic Problems in . Stringology. Exact Pattern Matching. Longest Common Substring. Lexicographically Minimal String Rotation. Longest Palindromic Substring. on a small trapped-ion quantum computer. Norbert M. . Linke. Joint Quantum Institute, University of Maryland, College Park, MD USA. 4 Feb 2019, UT Quantum Workshop. College Park, Maryland, USA. Overview. . 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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