Quantum Systems for Information Technology



Similar documents
QOT - Quantum Optical Technologies

Nanoscience Course Descriptions

Introduction to Quantum Computing

Quantum Algorithms in NMR Experiments. 25 th May 2012 Ling LIN & Michael Loretz

QUANTUM ENIGMA Summer 2014 Ted McIrvine

Quantum Computing for Beginners: Building Qubits

"in recognition of the services he rendered to the advancement of Physics by his discovery of energy quanta". h is the Planck constant he called it

Quantum Computing. Robert Sizemore

Quantum communication and quantum computing

Quantum computing in practice

Quantum Computing Architectures

Quantum Computing with NMR

Department of Commerce National Institute of Standards and Technology (NIST)

DISTANCE DEGREE PROGRAM CURRICULUM NOTE:

Bits Superposition Quantum Parallelism

QUANTUM COMPUTER ELEMENTS BASED ON COUPLED QUANTUM WAVEGUIDES

PHYSICS OF NANOSTRUCTURES

A More Efficient Way to De-shelve 137 Ba +

Program Overview and Assessment Methodology for Online Instruction in Chemistry at Oregon State University

Factoring a number with 400 digits a

QUANTUM INFORMATION, COMPUTATION AND FUNDAMENTAL LIMITATION

Open Problems in Quantum Information Processing. John Watrous Department of Computer Science University of Calgary

On the Nature of Measurement in Quantum Mechanics. Abstract. Text

Quantum is Sexy. Google - Millions of Search Hits

Quantum control of individual electron and nuclear spins in diamond lattice

Electrical and Computer Engineering Undergraduate Advising Manual

Quantum Information Science

Technology White Papers nr. 13 Paul Holister Cristina Román Vas Tim Harper


A Recent Improvements in Quantum Model and Counter Measures in Quantum Computing

School of Physics and Astronomy FACULTY OF MATHEMATICS AND PHYSICAL SCIENCES. MSc in Quantum Technologies

Quantum Computing Lecture 7. Quantum Factoring. Anuj Dawar

FY 2016 Laboratory Directed Research and Development (LDRD) Program

Coursework for MS leading to PhD in Electrical Engineering. 1 Courses for Digital Systems and Signal Processing

arxiv:quant-ph/ v2 19 Jan 2000

Quantum Computers vs. Computers

Keywords Quantum logic gates, Quantum computing, Logic gate, Quantum computer

Lecture 1 Version: 14/08/28. Frontiers of Condensed Matter San Sebastian, Aug , Dr. Leo DiCarlo l.dicarlo@tudelft.nl dicarlolab.tudelft.

QUANTUM COMPUTING: A REVIEW FOR THE RELATED ISSUES AND ITS FUTURE ASPECTS

Quantum Computation with Bose-Einstein Condensation and. Capable of Solving NP-Complete and #P Problems. Abstract

Master in Condensed Matter Physics. Master académique

The Department of Electrical and Computer Engineering (ECE) offers the following graduate degree programs:

Factoring by Quantum Computers

PHYS 1624 University Physics I. PHYS 2644 University Physics II

Taught Postgraduate programmes in the School of Physics and Astronomy

THEORETICAL

Quantum Computation and Quantum Information. Michael A. Nielsen & Isaac L. Chuang

Quantum Information Science (NIST trapped ion group) Dilbert confronts Schrödinger s cat, 4/17/12

MS & PhD Programs in Physics

The Role of Electric Polarization in Nonlinear optics

Class of 2016 Second Year Common CORE

Michael G. Foster School of Business University of Washington. MBA Core Managerial Finance BA 500 Fall Thomas Gilbert.

What is Nanophysics: Survey of Course Topics. Branislav K. Nikolić

Commercial Prospects for Quantum Information Processing

STUDY AT. Programs Taught in English

DOCTOR OF PHILOSOPHY IN PHYSICS

STAT 121 Hybrid SUMMER 2014 Introduction to Statistics for the Social Sciences Session I: May 27 th July 3 rd

Nanocomputer & Architecture

Lecture 13: Factoring Integers

University of Washington Foster School of Business FIN 502: Corporate Finance, Winter 2015 Professor Mark Westerfield

the age of the qubit A new era of quantum information in science and technology

COMPSCI 111/111G. Quantum Computing. Term 1, Prepared using LATEX Beamer by Cristian S.Calude 1 / 26

MASTER OF SCIENCE IN PHYSICS MASTER OF SCIENCES IN PHYSICS (MS PHYS) (LIST OF COURSES BY SEMESTER, THESIS OPTION)

CONCEPT OF DETERMINISTIC ION IMPLANTATION AT THE NANOSCALE

The Emerging Trends in Electrical and Computer Engineering

Nanotechnology and Its Impact on Modern Computer

Course Organization. Multimedia Information Systems 1 VU ( ) ( Web Technologies in the future) WS 2015/16. Vedran Sabol.

Bergen Community College School of Mathematics, Science and Technology Department of Physical Sciences. Course Syllabus PHY 291 Physics III

0.1 Phase Estimation Technique

Physics. Overview. Requirements for the Major. Requirements for the Minor. Teacher Licensure. Other. Credits. Credits. Courses. Courses.

Programme Specification (Postgraduate)

THE NEXT FRONTIER IN COMPUTING QUANTUM OPTICAL COMPUTING. Presentation For Venture Capital Investment

Multiple choice quiz on the internet

Course Semester Language of Code InstructionDegree College Department Major/Elective Credit Course Type Evaluation College of System.

UNL71 Physics Neil Lister; BSc, Dip, Ed.

PROGRAMME SPECIFIC PART OF THE EDUCATION AND EXAMINATION REGULATIONS FOR THE BACHELOR S DEGREE PROGRAMME IN ELECTRICAL ENGINEERING

DATA MINING FOR BUSINESS INTELLIGENCE. Data Mining For Business Intelligence: MIS 382N.9/MKT 382 Professor Maytal Saar-Tsechansky

2014 Voluntary Page and Overlength Article Charges

THE RUSSIAN QUANTUM CENTER

1.Context What is the problem with current cryptographic techniques? Current Quantum Key Distribution (QKD)... 4

The University of Iowa. Department of Electrical and Computer Engineering GRADUATE MANUAL

Assessment Plan for Learning Outcomes for BA/BS in Physics

Highlights of Solid State Physics. Man of the Year Nobel Prizes

Transcription:

Lecture Quantum Systems for Information Technology fall term (HS) 2010 Lecturer: e Andreas Wallraff office: HPF D 8/9, ETH Hoenggerberg email: qsit-lecture@phys.ethz.ch What is this lecture about? Quantum Mechanics and its Applications in Information Processing Questions: How can one use quantum physics to process information or to communicate? What kind of problems can be solved more efficiently using the ideas of quantum information processing? How does one build systems to process information quantum mechanically?

Is it really interesting? Tell us about yourself! Who are you? What is your name? Where are you from? Which h degree program are you in? Have you attended Quantum Physics (Exp/Theo) or Quantum Information (Exp/Theo) classes before? Present your thoughts on the question: How could quantum mechanics potentially be useful in information technology? What are your expectations about the lecture? What would you like to learn in the lecture?

Goals of the Lecture understand how quantum mechanics is used for quantum information processing (QIP) quantum communication (QC) know basic examples of quantum algorithms prime number factorization (Shor algorithm) searching in a database (Grover algorithm) simulating quantum systems (Feynman) know basic examples of quantum communication efficient information transfer (quantum dense coding) transfer of unknown quantum information (teleportation) secure communication (quantum cryptography) Goals of the Lecture (continued) be proficient in basic concepts of QIP representation of information in qu(antum)bits manipulation and read-out of information stored in qubits be knowledgeable about physical systems used for QIP e.g. spins, atoms, solid state quantum systems know characteristic energy scales and operating conditions know criteria to evaluate suitability of physical systems for QIP know basic experimental techniques used to realize and characterize quantum systems fabrication of quantum devices experimental setups general measurement and characterization techniques

Skills and Competencies to be Developed You are able explore the use of quantum mechanics in different physical contexts: atomic physics, solid state physics, optical physics, nuclear physics know basics concepts of how quantum information experiments are performed in different physical systems can use your knowledge of QIP concepts to understand research in areas not discussed in the lecture are able to judge the state of the art and relative progress in different technologies for quantum information processing are able to critically evaluate prospects of practical use of quantum mechanics for information processing and other quantum technologies acquire a basis s to decide if you want to work in this field of research come up with your own idea of how to do an interesting QIP project

Basic Structure of Course Part I: Introduction to Quantum Information Processing (QIP) basic concepts qubits, qubit control, measurement, gate operations circuit model of quantum computation examples of quantum algorithms Part II: Superconducting Quantum Electronic Circuits for QIP qubit realizations, characterization, coherence physical realization of qubit control, qubit/qubit interactions and read-out interfacing qubits and photons: cavity quantum electrodynamics Part III: QIP Implementations (Lectures and Student Presentations) electrons and spins in semiconductor quantum dots ions and neutral cold atoms photons and linear optics spins in nuclear magnetic resonance Student Presentations Topics: implementations of quantum information processing Goal: present key features of implementation and judge its prospects Material: research papers and review articles Preparation: teams of two students, 10 slots for teams available, advice and support by TAs Duration: presentation + discussion (30+15 minutes) Presentation: blackboard, transparencies, PowerPoint feedback on both content and presentation of your talk

Skills and Competencies to be Developed You can interpret current research results in quantum information science know how to extract relevant information from scientific papers, possibly neglecting details have the skill to document your understanding of a scientific topic in an aural presentation are able to summarize the scientific content of a paper in short written form collaborate effectively with a fellow students (taking into account the different backgrounds) on joint projects Exercise Classes part I & II (week 2-8) discuss and practice topics of lecture part III (week 9-13) student presentations teaching assistant: Stefan Filipp (filipp@phys.ethz.ch)

Guest Lecture topic: Ion Trap Quantum Computing (Jonathan Home, ETHZ)... potentially additional guest lectures on one or two additional topics Reading Quantum computation and quantum information Michael A. Nielsen & Isaac L. Chuang Cambridge : Cambridge University Press, 2000 676 S. ISBN 0-521-63235-8 additional reading material will be provided throughout the lecture and on the web page: qudev.ethz.ch/content/courses/coursesmain.htmlethz html

Credit (Testat) Requirements active contribution to lectures and exercises successfully yprepare p and present a talk on one of the physical implementations of quantum information processing Exam & Credits aural exam (20 mins) during summer or winter exam session exam dates as required by your program of study 8 credit points (KP) can be earned successfully completing this class content of exam: see goals of lecture g good presentation and active contribution to lecture will be a bonus

Time and Place lecture: Monday (15-17), 14:45 16:30, HCI H 2.1 exercises: Monday (11-13) 13), 10:45 12:30, HCI H 8.1 are there timing conflicts with other lectures? Quantum Field Theory (ends 15:45), Irchel [Sidler] potential alternative time slots: TBD Registration & Contact Information your registration and contact information please register online for the class in this way we can contact you our contact information qsit-lecture@phys.etzh.ch www qudev ethz ch/content/courses/coursesmain html www.qudev.ethz.ch/content/courses/coursesmain.html (will be updated constantly)

Let s get started!