PPT-Quantum Simulation

Dieter Jaksch Outline Lecture 1 Introduction What defines a quantum simulator Quantum simulator criteria Strongly correlated quantum systems Lecture 2 Optical lattices BoseEinstein condensation adiabatic loading of an optical lattice Hamiltonian . 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 . with a . Scala. Embedded . Language. Xiao Liu and . John . Kubiatowicz. Computer Science Division. University of California, Berkeley. Email: {. xliu. , . kubitron. }@eecs.berkeley.edu. Why Quantum Computers?. (Quantum Cryptography). The BIG Idea. Basic idea of cryptography – To keep information secure from prying eyes. . Current encryption is mathematically based. Basically there are several possible types of keys and if the sender and end user both know the key, they can exchange information securely. . Modern Physics. 5/10/11 . Spring 2011. Ben Miller, Alexander . DeCarli. , Kevin Shaw. What is it?. How do particles become Entangled?. Parametric Down Conversion. A laser (usually ultraviolet for its high frequency) sends a photon through a nonlinear crystal such as Beta Barium Borate. Quantum Hamiltonian Complexity. Aram Harrow (MIT). Simons Institute. 16 Jan 2014. Entanglement. Original motivation for quantum computing. [Feynman ‘82]. Nature isn't classical, dammit, and if you want to make a simulation of Nature, you'd better make it quantum mechanical, and by golly it's a wonderful problem, because it doesn't look so easy.. 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. 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 . MAS 725. Hartmut. . Klauck. NTU. 12.3.2012. Topics . today. Superdense. . coding. Distinguishing quantum states. Bell . inequalities. Superdense Coding. Alice . has two . b. its of classical information she wants to send to Bob. 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 . McsQPT. ). Joint work with: . S. . Rahimi-Keshari. , A. T. . Rezakhani. , T. C. Ralph. Masoud. Ghalaii. Nov. 2013. 1. Basic concepts—Phase space, Wigner . function, . HD, … . Harmonic oscillator. Lecture . 3. Books Recommended:. Lectures on Quantum Field Theory by Ashok Das. Advanced Quantum Mechanics by . Schwabl. Relativistic Quantum Mechanics by Greiner. . Quantum Field Theory by Mark . Srednicki. 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.