PPT-Quantum

Field Theory for Gravity and Dark Energy Sang Pyo Kim Kunsan Natl Univ amp APCTP Co sPA2009 U Melbourne 2009 Outline Motivation Vacuum Energy and Cosmological Constant QFT Method for Gravity. (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. . 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.. OverviewIntroduction •Methods of Intermixing•Quantum Wells•Ion Implantation Induced InterdiffusionLasers, PhotodetectorsImpurity Free InterdiffusionIntegrated Waveguide-Quantum Dots 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. Part 2. Aditi. . Harish-Chandra Research Institute, India. Outline. Communication. Secure Communication. Quantum Cryptography. Communication. Without security. Classical info. transmission. Quantum state. Todd A. Brun, Daniel A. . Lidar. ,. Ben . Reichardt. , Paolo . Zanardi. University of Southern California. The key to quantum computation. The most serious obstacle to realizing quantum computers is . Fang Song. IQC, University of Waterloo. -- “Quantum-Friendly” Reductions. 2. How do . quantum . attacks change classical cryptography?. Crypto-systems based on the hardness of factoring and discrete-log are . Faculty of Physics, University of Vienna &. Institute . for Quantum Optics . and Quantum Information, Vienna . Mateus . Araujo. , . Cyril . Branciard, Fabio Costa, Adrian Feix. , Christina . Giarmatzi, Ognyan Oreshkov, Magdalena Zych. 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).. n, l, m, and s. Used to . describe. an . electron. in an . atom. Probable location. n. Principal Quantum Number. Represents . main. energy level of . electron. Maximum. # . o. f . electrons. in an . The Atom is like a Hotel, not a solar system. Copy the diagram on the board if you have not done so.. Electrons do not circle a nucleus willy-nilly. They have assigned positions that only extra energy can cause them to jump into another position ( ex: photoelectric effect ). Khalid Muhammad. 1. History of Quantum Computing. Bits and Qubits. Problems with the Quantum Machine. Who Introduced the Idea?. Khalid Muhammad. 1. Introduction to Quantum Computing. Soviet scientist Yuri . By: Roshan Kathir, Javakar Jeyanathan, Theodore Egube. What is Quantum Computing?. Computing using quantum mechanics. Very powerful technology to allow extremely fast computing . Uses . qubits . instead of bits. 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.