CHEMISTRY 2000 Topics of Interest #2: Quantum Computers.

Slides:



Advertisements
Similar presentations
Quantum Computation and Quantum Information – Lecture 2
Advertisements

Roundoff and truncation errors
Trends in Memory Computing. Changes in memory technology Once upon a time, computers could not store very much data. The first electronic memory storage.
2009 Spring Errors & Source of Errors SpringBIL108E Errors in Computing Several causes for malfunction in computer systems. –Hardware fails –Critical.
 RAID stands for Redundant Array of Independent Disks  A system of arranging multiple disks for redundancy (or performance)  Term first coined in 1987.
FUTURE TECHNOLOGIES Lecture 13.  In this lecture we will discuss some of the important technologies of the future  Autonomic Computing  Cloud Computing.
Modern Physics 5/10/11 Spring 2011 Ben Miller, Alexander DeCarli, Kevin Shaw.
Quantum Computing. Introduction to Computing Is currently done on your laptop today Numbers as we commonly use them are in decimal (base 10) format. Computers.
Quantum Computing Ambarish Roy Presentation Flow.
Quantum Technology Essential Question:
Matthew Guidry. The Fundamentals of Cryptography  One of the fundamentals of cryptography is that keys selected for various protocols that are computationally.
Quantum Computing Joseph Stelmach.
Quantum Computation and Quantum Information – Lecture 2 Part 1 of CS406 – Research Directions in Computing Dr. Rajagopal Nagarajan Assistant: Nick Papanikolaou.
Computer Systems 1 Fundamentals of Computing
Moore’s Law the number of circuits on a single silicon chip doubles every 18 to 24 months.
Tallinn University of Technology Quantum computer impact on public key cryptography Roman Stepanenko.
A-Level Computing Data representation. Objectives Know how data can be represented in a computer system Understand the need for various forms of representation.
Quantum Computing David Dvorak CIS 492. Quantum Computing Overview What is it? How does it work? –The basics –Clarifying with examples Factoring Quantum.
Quantum Computing Presented by: Don Davis PHYS
Computer Systems Chapter 1 Pages Hardware-physical pieces Key hardware components in a computer system: The physical parts. – Central processing.
Data Representation S2. This unit covers how the computer represents- Numbers Text Graphics Control.
Quantum Computers. Overview Brief History Computing – (generations) Current technology Limitations Theory of Quantum Computing How it Works? Applications.
CS 102 Computers In Context (Multimedia)‏ 01 / 23 / 2009 Instructor: Michael Eckmann.
An Introduction to Quantum Phenomena and their Effect on Computing Peter Shoemaker MSCS Candidate March 7 th, 2003.
Number Representation. Representing numbers n Numbers are represented as successive powers of a base, or radix.
By Joseph Szatkowski and Cody Borgschulte. ● Uses phenomenon associated with quantum mechanics instead of electrical circuitry ● Quantum mechanics explains.
A brief introduction to Quantum computer
Quick starter Which of the emerging techs do you think have the most potential? To make money?
1 Quantum Computing Lecture Eleven. 2 Outline  Shrinking sizes of electronic devices  Modern physics & quantum world  Principles of quantum computing.
Quantum Computing by Mathew Ross Jared Davis - Group L -
Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display. 1 Chapter 3.
Quantum Computers by Ran Li.
Quantum computing, teleportation, cryptography Computing Teleportation Cryptography.
Cove: A Practical Quantum Computer Programming Framework Matt Purkeypile (DCS3) Winter 2009.
Introduction: Memory Management 2 Ideally programmers want memory that is large fast non volatile Memory hierarchy small amount of fast, expensive memory.
LITERATURE SEARCH ASSIGNMENT A) Properties of diatomic molecules A diatomic molecule is a molecule composed of two atoms. For homonuclear diatomics the.
CS1Q Computer Systems Lecture 2 Simon Gay. Lecture 2CS1Q Computer Systems - Simon Gay2 Binary Numbers We’ll look at some details of the representation.
Binary Arithmetic.
A SEMINAR ON Q UANTUM C OMPUTING Institute Of Engineering & Management (CSE 3 rd year batch) Submitted to- Submitted by- Mr. D.P.S. Rathor Sudhir.
CHEMISTRY 2000 Topic #1: Bonding – What Holds Atoms Together? Spring 2008 Dr. Susan Lait.
Is a computer whose physical dimensions are microscopic and the field of nanocomputing is part of the emerging field of nanotechnology and several typesnanotechnology.
Page 1 COMPSCI 290.2: Computer Security “Quantum Cryptography” including Quantum Communication Quantum Computing.
Units Representation of Data in Computer Systems.
Quantum Computing: An Introduction Khalid Muhammad 1 History of Quantum Computing Bits and Qubits Problems with the Quantum Machine.
Quantum Computing Charles Bloomquist CS147 Fall 2009.
Chem - mystery What has more energy, a heat lamp or a tanning lamp?
Quantum Computers By Ryan Orvosh.
Norman Littlejohn COSC480.  Quantum Computing  History  How it works  Usage.
Quantum Computing: An Introduction
Intro to Quantum Algorithms SUNY Polytechnic Institute Chen-Fu Chiang Fall 2015.
Quantum Computers TAUKI TAHMID BRAC UNIVERSITY ID:
So that k k E 5 = - E 2 = = x J = x J Therefore = E 5 - E 2 = x J Now so 631.
Different methods of quantum computing optimization
QUANTUM COMPUTING By Sandeep Neeli.
The Quantum Mechanical Model of the Atom
QUANTUM COMPUTING: Quantum computing is an attempt to unite Quantum mechanics and information science together to achieve next generation computation.
COMPSCI 290.2: Computer Security
Poomipat Phusayangkul
Quantum Computers Superposition Interference Entanglement and Quantum Error Correction Lesson 1 By: Professor Lili Saghafi
Wave functions, Energy Levels and Particle in the Box
Quantum Computing: The Future of Computing
Representation of Data in Computer Systems
Introductory Chemistry
Fundamentals of Data Representation
Chapter 4: Representing sound
Quantum Computation and Information Chap 1 Intro and Overview: p 28-58
Quantum Computing Joseph Stelmach.
Electron Atomic Orbitals
Binary.
Presentation transcript:

CHEMISTRY 2000 Topics of Interest #2: Quantum Computers

Quantum Computers Calculate Energy of H 2 This month, scientists at Harvard University and the University of Queensland (Australia) reported that they had used a quantum computer to calculate the energy of a hydrogen molecule. This is a significant advance (compared to other recent reports of using quantum computers to factor the number 15 or to solve a Sudoku puzzle). Conventional computers can perform this calculation, but it is anticipated that quantum computers will be able to calculate the exact energies of molecules far larger than those which conventional computers can handle. (The current limit for exact calculations on conventional computers is 4-5 atoms. For larger molecules/systems, we use methods that make approximations.) exact.energy.molecular.hydrogen

Quantum Computers vs. Conventional How do quantum computers differ from conventional computers? Conventional computers store information in bits. A bit has a value of either 0 or 1. Several bits are required to store a single number. e.g. “4” would be stored as (requiring at least three bits) Quantum computers store information in qubits. A qubit can store both values 0 and 1 at the same time. Instead of storing just one number (e.g. “4”), three qubits can store eight numbers simultaneously: = “0”1 0 0 = “4” = “1”1 0 1 = “5” = “2”1 1 0 = “6” = “3”1 1 1 = “7” This is referred to as “superposition”. The most famous example of superposition is the thought experiment known as Schr ö dinger’s Cat. The superposition will only be broken when the qubit is read. Version 1.1 (an online intro. text)

Quantum Computers vs. Conventional Since a three qubit ‘quantum computer’ can store eight times as many values as a three bit ‘conventional computer’, it should be able to do calculations eight times faster and therefore potentially eight times more complex (8 = 2 3 ). (Some leeway has been taken here in an order to avoid maths/physics far beyond the level of this course.) A twenty qubit computer would be able to store 2 20 = 1,048,576 times as many numbers as a twenty bit computer. A hundred qubit computer would be able to store = 1,267,650,600,228,229,401,496,703,205,376 times as many numbers as a hundred bit computer. (For reference, todays computers typically contain Gigabytes where 1 byte = 8 bits so 1 GB = 8,000,000,000 bits. Quantum computers are still operating in the double digit qubit range but are getting bigger.) While this scaling is impressive, the real value of quantum computers is that their quantum nature allows them to run algorithms that conventional computers cannot. There is certainly logic in the idea of applying a quantum computer to solve quantum mechanical problems. Version 1.1 (an online intro. text)

Quantum Computers Still Pretty Small 16 qubit quantum computer (solved a Sudoku): © 2007 D-Wave Systems Inc.