PPT-Lecture 3: Quantum simulation algorithms

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 . 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. 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. and . Ultra-Efficient Solar Cells . 2008. “for the Layman”. Disclaimer. The information contained in this document is provided by Phoenix Alliance Corp. through its research sources and is obtained from sources that Phoenix Alliance Corp. believes to be reliable or are otherwise expressions of third party opinion. Whilst Phoenix Alliance Corp. has made reasonable efforts to ensure the accuracy, completeness and appropriateness of such information, any reliance on such information is entirely at the risk of the party using it, and it will not rely on such contents in substitution for making proper and appropriate enquiries from the relevant third parties. . with Two Supportive Search Schemes (TSSS) and. Artificial Entanglement (AE). Chee Ken Choy (Kenny). Intelligent Computer Entertainment [ICE] Lab. History of Quantum-inspired Algorithms. The idea of first . 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 . 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).. 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. Problem - a well defined task.. Sort a list of numbers.. Find a particular item in a list.. Find a winning chess move.. Algorithms. A series of precise steps, known to stop eventually, that solve a problem.. 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. 10 Bat Algorithms Xin-She Yang, Nature-Inspired Optimization Algorithms, Elsevier, 2014 The bat algorithm (BA) is a bio-inspired algorithm developed by Xin-She Yang in 2010. 10.1 Echolocation of Bats Part 1. Outline. Introduction. Problems of classical physics. Black-body Radiation. experimental observations. Wien’s displacement law. Stefan – Boltzmann law. Rayleigh - Jeans. Wien’s radiation law.