Quantum Computation, Volume 58
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An Introduction Quantum Computing
An Introduction to Quantum Computing Michal Charemza University of Warwick March 2005 Acknowledgments Special thanks are given to Steve Flammia and Bryan Eastin, authors of the LATEX package, Qcircuit, used to draw all the quantum circuits in this document. This package is available online at http://info.phys.unm.edu/Qcircuit/. Also thanks are given to Mika Hirvensalo, author of [11], who took the time to respond to some questions. 1 Contents 1 Introduction 4 2 Quantum States 6 2.1 CompoundStates........................... 8 2.2 Observation.............................. 9 2.3 Entanglement............................. 11 2.4 RepresentingGroups . 11 3 Operations on Quantum States 13 3.1 TimeEvolution............................ 13 3.2 UnaryQuantumGates. 14 3.3 BinaryQuantumGates . 15 3.4 QuantumCircuits .......................... 17 4 Boolean Circuits 19 4.1 BooleanCircuits ........................... 19 5 Superdense Coding 24 6 Quantum Teleportation 26 7 Quantum Fourier Transform 29 7.1 DiscreteFourierTransform . 29 7.1.1 CharactersofFiniteAbelianGroups . 29 7.1.2 DiscreteFourierTransform . 30 7.2 QuantumFourierTransform. 32 m 7.2.1 Quantum Fourier Transform in F2 ............. 33 7.2.2 Quantum Fourier Transform in Zn ............. 35 8 Random Numbers 38 9 Factoring 39 9.1 OneWayFunctions.......................... 39 9.2 FactorsfromOrder.......................... 40 9.3 Shor’sAlgorithm ........................... 42 2 CONTENTS 3 10 Searching 46 10.1 BlackboxFunctions. 46 10.2 HowNotToSearch.......................... 47 10.3 Single Query Without (Grover’s) Amplification . ... 48 10.4 AmplitudeAmplification. 50 10.4.1 SingleQuery,SingleSolution . 52 10.4.2 KnownNumberofSolutions. 53 10.4.3 UnknownNumberofSolutions . 55 11 Conclusion 57 Bibliography 59 Chapter 1 Introduction The classical computer was originally a largely theoretical concept usually at- tributed to Alan Turing, called the Turing Machine. -
Quantum Topology and Categorification Seminar, Spring 2017
QUANTUM TOPOLOGY AND CATEGORIFICATION SEMINAR, SPRING 2017 ARUN DEBRAY APRIL 25, 2017 These notes were taken in a learning seminar in Spring 2017. I live-TEXed them using vim, and as such there may be typos; please send questions, comments, complaints, and corrections to [email protected]. Thanks to Michael Ball for finding and fixing a typo. CONTENTS Part 1. Quantum topology: Chern-Simons theory and the Jones polynomial 1 1. The Jones Polynomial: 1/24/171 2. Introduction to quantum field theory: 1/31/174 3. Canonical quantization and Chern-Simons theory: 2/7/177 4. Chern-Simons theory and the Wess-Zumino-Witten model: 2/14/179 5. The Jones polynomial from Chern-Simons theory: 2/21/17 13 6. TQFTs and the Kauffman bracket: 2/28/17 15 7. TQFTs and the Kauffman bracket, II: 3/7/17 17 Part 2. Categorification: Khovanov homology 18 8. Khovanov homology and computations: 3/21/17 18 9. Khovanov homology and low-dimensional topology: 3/28/17 21 10. Khovanov homology for tangles and Frobenius algebras: 4/4/17 23 11. TQFT for tangles: 4/11/17 24 12. The long exact sequence, functoriality, and torsion: 4/18/17 26 13. A transverse link invariant from Khovanov homology: 4/25/17 28 References 30 Part 1. Quantum topology: Chern-Simons theory and the Jones polynomial 1. THE JONES POLYNOMIAL: 1/24/17 Today, Hannah talked about the Jones polynomial, including how she sees it and why she cares about it as a topologist. 1.1. Introduction to knot theory. -
Quantum Computer: Quantum Model and Reality
Quantum Computer: Quantum Model and Reality Vasil Penchev, [email protected] Bulgarian Academy of Sciences: Institute of Philosophy and Sociology: Dept. of Logical Systems and Models Abstract. Any computer can create a model of reality. The hypothesis that quantum computer can generate such a model designated as quantum, which coincides with the modeled reality, is discussed. Its reasons are the theorems about the absence of “hidden variables” in quantum mechanics. The quantum modeling requires the axiom of choice. The following conclusions are deduced from the hypothesis. A quantum model unlike a classical model can coincide with reality. Reality can be interpreted as a quantum computer. The physical processes represent computations of the quantum computer. Quantum information is the real fundament of the world. The conception of quantum computer unifies physics and mathematics and thus the material and the ideal world. Quantum computer is a non-Turing machine in principle. Any quantum computing can be interpreted as an infinite classical computational process of a Turing machine. Quantum computer introduces the notion of “actually infinite computational process”. The discussed hypothesis is consistent with all quantum mechanics. The conclusions address a form of neo-Pythagoreanism: Unifying the mathematical and physical, quantum computer is situated in an intermediate domain of their mutual transformations. Key words: model, quantum computer, reality, Turing machine Eight questions: There are a few most essential questions about the philosophical interpretation of quantum computer. They refer to the fundamental problems in ontology and epistemology rather than philosophy of science or that of information and computation only. The contemporary development of quantum mechanics and the theory of quantum information generate them. -
The Multiplicative Weights Update Method: a Meta-Algorithm and Applications
THEORY OF COMPUTING, Volume 8 (2012), pp. 121–164 www.theoryofcomputing.org RESEARCH SURVEY The Multiplicative Weights Update Method: A Meta-Algorithm and Applications Sanjeev Arora∗ Elad Hazan Satyen Kale Received: July 22, 2008; revised: July 2, 2011; published: May 1, 2012. Abstract: Algorithms in varied fields use the idea of maintaining a distribution over a certain set and use the multiplicative update rule to iteratively change these weights. Their analyses are usually very similar and rely on an exponential potential function. In this survey we present a simple meta-algorithm that unifies many of these disparate algorithms and derives them as simple instantiations of the meta-algorithm. We feel that since this meta-algorithm and its analysis are so simple, and its applications so broad, it should be a standard part of algorithms courses, like “divide and conquer.” ACM Classification: G.1.6 AMS Classification: 68Q25 Key words and phrases: algorithms, game theory, machine learning 1 Introduction The Multiplicative Weights (MW) method is a simple idea which has been repeatedly discovered in fields as diverse as Machine Learning, Optimization, and Game Theory. The setting for this algorithm is the following. A decision maker has a choice of n decisions, and needs to repeatedly make a decision and obtain an associated payoff. The decision maker’s goal, in the long run, is to achieve a total payoff which is comparable to the payoff of that fixed decision that maximizes the total payoff with the benefit of ∗This project was supported by David and Lucile Packard Fellowship and NSF grants MSPA-MCS 0528414 and CCR- 0205594. -
Limits on Efficient Computation in the Physical World
Limits on Efficient Computation in the Physical World by Scott Joel Aaronson Bachelor of Science (Cornell University) 2000 A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Computer Science in the GRADUATE DIVISION of the UNIVERSITY of CALIFORNIA, BERKELEY Committee in charge: Professor Umesh Vazirani, Chair Professor Luca Trevisan Professor K. Birgitta Whaley Fall 2004 The dissertation of Scott Joel Aaronson is approved: Chair Date Date Date University of California, Berkeley Fall 2004 Limits on Efficient Computation in the Physical World Copyright 2004 by Scott Joel Aaronson 1 Abstract Limits on Efficient Computation in the Physical World by Scott Joel Aaronson Doctor of Philosophy in Computer Science University of California, Berkeley Professor Umesh Vazirani, Chair More than a speculative technology, quantum computing seems to challenge our most basic intuitions about how the physical world should behave. In this thesis I show that, while some intuitions from classical computer science must be jettisoned in the light of modern physics, many others emerge nearly unscathed; and I use powerful tools from computational complexity theory to help determine which are which. In the first part of the thesis, I attack the common belief that quantum computing resembles classical exponential parallelism, by showing that quantum computers would face serious limitations on a wider range of problems than was previously known. In partic- ular, any quantum algorithm that solves the collision problem—that of deciding whether a sequence of n integers is one-to-one or two-to-one—must query the sequence Ω n1/5 times. -
Introductory Topics in Quantum Paradigm
Introductory Topics in Quantum Paradigm Subhamoy Maitra Indian Statistical Institute [[email protected]] 21 May, 2016 Subhamoy Maitra Quantum Information Outline of the talk Preliminaries of Quantum Paradigm What is a Qubit? Entanglement Quantum Gates No Cloning Indistinguishability of quantum states Details of BB84 Quantum Key Distribution Algorithm Description Eavesdropping State of the art: News and Industries Walsh Transform in Deutsch-Jozsa (DJ) Algorithm Deutsch-Jozsa Algorithm Walsh Transform Relating the above two Some implications Subhamoy Maitra Quantum Information Qubit and Measurement A qubit: αj0i + βj1i; 2 2 α; β 2 C, jαj + jβj = 1. Measurement in fj0i; j1ig basis: we will get j0i with probability jαj2, j1i with probability jβj2. The original state gets destroyed. Example: 1 + i 1 j0i + p j1i: 2 2 After measurement: we will get 1 j0i with probability 2 , 1 j1i with probability 2 . Subhamoy Maitra Quantum Information Basic Algebra Basic algebra: (α1j0i + β1j1i) ⊗ (α2j0i + β2j1i) = α1α2j00i + α1β2j01i + β1α2j10i + β1β2j11i, can be seen as tensor product. Any 2-qubit state may not be decomposed as above. Consider the state γ1j00i + γ2j11i with γ1 6= 0; γ2 6= 0. This cannot be written as (α1j0i + β1j1i) ⊗ (α2j0i + β2j1i). This is called entanglement. Known as Bell states or EPR pairs. An example of maximally entangled state is j00i + j11i p : 2 Subhamoy Maitra Quantum Information Quantum Gates n inputs, n outputs. Can be seen as 2n × 2n unitary matrices where the elements are complex numbers. Single input single output quantum gates. Quantum input Quantum gate Quantum Output αj0i + βj1i X βj0i + αj1i αj0i + βj1i Z αj0i − βj1i j0i+j1i j0i−|1i αj0i + βj1i H α p + β p 2 2 Subhamoy Maitra Quantum Information Quantum Gates (contd.) 1 input, 1 output. -
A Gentle Introduction to Quantum Computing Algorithms With
A Gentle Introduction to Quantum Computing Algorithms with Applications to Universal Prediction Elliot Catt1 Marcus Hutter1,2 1Australian National University, 2Deepmind {elliot.carpentercatt,marcus.hutter}@anu.edu.au May 8, 2020 Abstract In this technical report we give an elementary introduction to Quantum Computing for non- physicists. In this introduction we describe in detail some of the foundational Quantum Algorithms including: the Deutsch-Jozsa Algorithm, Shor’s Algorithm, Grocer Search, and Quantum Count- ing Algorithm and briefly the Harrow-Lloyd Algorithm. Additionally we give an introduction to Solomonoff Induction, a theoretically optimal method for prediction. We then attempt to use Quan- tum computing to find better algorithms for the approximation of Solomonoff Induction. This is done by using techniques from other Quantum computing algorithms to achieve a speedup in com- puting the speed prior, which is an approximation of Solomonoff’s prior, a key part of Solomonoff Induction. The major limiting factors are that the probabilities being computed are often so small that without a sufficient (often large) amount of trials, the error may be larger than the result. If a substantial speedup in the computation of an approximation of Solomonoff Induction can be achieved through quantum computing, then this can be applied to the field of intelligent agents as a key part of an approximation of the agent AIXI. arXiv:2005.03137v1 [quant-ph] 29 Apr 2020 1 Contents 1 Introduction 3 2 Preliminaries 4 2.1 Probability ......................................... 4 2.2 Computability ....................................... 5 2.3 ComplexityTheory................................... .. 7 3 Quantum Computing 8 3.1 Introduction...................................... ... 8 3.2 QuantumTuringMachines .............................. .. 9 3.2.1 Church-TuringThesis .............................. -
Classical Topology and Quantum States∗
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by CERN Document Server SU-4240-716 February 2000 Classical Topology and Quantum States∗ A.P. Balachandran Department of Physics, Syracuse University, Syracuse, NY 13244-1130, USA Abstract Any two infinite-dimensional (separable) Hilbert spaces are unitarily isomorphic. The sets of all their self-adjoint operators are also therefore unitarily equivalent. Thus if all self-adjoint operators can be observed, and if there is no further major axiom in quantum physics than those formulated for example in Dirac’s ‘Quantum Mechanics’, then a quantum physicist would not be able to tell a torus from a hole in the ground. We argue that there are indeed such axioms involving observables with smooth time evolution: they contain commutative subalgebras from which the spatial slice of spacetime with its topology (and with further refinements of the axiom, its CK− and C∞− structures) can be reconstructed using Gel’fand - Naimark theory and its extensions. Classical topology is an attribute of only certain quantum observables for these axioms, the spatial slice emergent from quantum physics getting progressively less differentiable with increasingly higher excitations of energy and eventually altogether ceasing to exist. After formulating these axioms, we apply them to show the possibility of topology change and to discuss quantized fuzzy topologies. Fundamental issues concerning the role of time in quantum physics are also addressed. ∗Talk presented at the Winter Institute on Foundations of Quantum Theory and Quantum Op- tics,S.N.Bose National Centre for Basic Sciences,Calcutta,January 1-13,2000. -
Restricted Versions of the Two-Local Hamiltonian Problem
The Pennsylvania State University The Graduate School Eberly College of Science RESTRICTED VERSIONS OF THE TWO-LOCAL HAMILTONIAN PROBLEM A Dissertation in Physics by Sandeep Narayanaswami c 2013 Sandeep Narayanaswami Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy August 2013 The dissertation of Sandeep Narayanaswami was reviewed and approved* by the following: Sean Hallgren Associate Professor of Computer Science and Engineering Dissertation Adviser, Co-Chair of Committee Nitin Samarth Professor of Physics Head of the Department of Physics Co-Chair of Committee David S Weiss Professor of Physics Jason Morton Assistant Professor of Mathematics *Signatures are on file in the Graduate School. Abstract The Hamiltonian of a physical system is its energy operator and determines its dynamics. Un- derstanding the properties of the ground state is crucial to understanding the system. The Local Hamiltonian problem, being an extension of the classical Satisfiability problem, is thus a very well-motivated and natural problem, from both physics and computer science perspectives. In this dissertation, we seek to understand special cases of the Local Hamiltonian problem in terms of algorithms and computational complexity. iii Contents List of Tables vii List of Tables vii Acknowledgments ix 1 Introduction 1 2 Background 6 2.1 Classical Complexity . .6 2.2 Quantum Computation . .9 2.3 Generalizations of SAT . 11 2.3.1 The Ising model . 13 2.3.2 QMA-complete Local Hamiltonians . 13 2.3.3 Projection Hamiltonians, or Quantum k-SAT . 14 2.3.4 Commuting Local Hamiltonians . 14 2.3.5 Other special cases . 15 2.3.6 Approximation Algorithms and Heuristics . -
Encryption of Binary and Non-Binary Data Using Chained Hadamard Transforms
Encryption of Binary and Non-Binary Data Using Chained Hadamard Transforms Rohith Singi Reddy Computer Science Department Oklahoma State University, Stillwater, OK 74078 ABSTRACT This paper presents a new chaining technique for the use of Hadamard transforms for encryption of both binary and non-binary data. The lengths of the input and output sequence need not be identical. The method may be used also for hashing. INTRODUCTION The Hadamard transform is an example of generalized class of Fourier transforms [4], and it may be defined either recursively, or by using binary representation. Its symmetric form lends itself to applications ranging across many technical fields such as data encryption [1], signal processing [2], data compression algorithms [3], randomness measures [6], and so on. Here we consider an application of the Hadamard matrix to non-binary numbers. To do so, Hadamard transform is generalized such that all the values in the matrix are non negative. Each negative number is replaced with corresponding modulo number; for example while performing modulo 7 operations -1 is replaced with 6 to make the matrix non-binary. Only prime modulo operations are performed because non prime numbers can be divisible with numbers other than 1 and itself. The use of modulo operation along with generalized Hadamard matrix limits the output range and decreases computation complexity. In the method proposed in this paper, the input sequence is split into certain group of bits such that each group bit count is a prime number. As we are dealing with non-binary numbers, for each group of binary bits their corresponding decimal value is calculated. -
Unconditional Quantum Teleportation
R ESEARCH A RTICLES our experiment achieves Fexp 5 0.58 6 0.02 for the field emerging from Bob’s station, thus Unconditional Quantum demonstrating the nonclassical character of this experimental implementation. Teleportation To describe the infinite-dimensional states of optical fields, it is convenient to introduce a A. Furusawa, J. L. Sørensen, S. L. Braunstein, C. A. Fuchs, pair (x, p) of continuous variables of the electric H. J. Kimble,* E. S. Polzik field, called the quadrature-phase amplitudes (QAs), that are analogous to the canonically Quantum teleportation of optical coherent states was demonstrated experi- conjugate variables of position and momentum mentally using squeezed-state entanglement. The quantum nature of the of a massive particle (15). In terms of this achieved teleportation was verified by the experimentally determined fidelity analogy, the entangled beams shared by Alice Fexp 5 0.58 6 0.02, which describes the match between input and output states. and Bob have nonlocal correlations similar to A fidelity greater than 0.5 is not possible for coherent states without the use those first described by Einstein et al.(16). The of entanglement. This is the first realization of unconditional quantum tele- requisite EPR state is efficiently generated via portation where every state entering the device is actually teleported. the nonlinear optical process of parametric down-conversion previously demonstrated in Quantum teleportation is the disembodied subsystems of infinite-dimensional systems (17). The resulting state corresponds to a transport of an unknown quantum state from where the above advantages can be put to use. squeezed two-mode optical field. -
MATTERS of GRAVITY, a Newsletter for the Gravity Community, Number 3
MATTERS OF GRAVITY Number 3 Spring 1994 Table of Contents Editorial ................................................... ................... 2 Correspondents ................................................... ............ 2 Gravity news: Open Letter to gravitational physicists, Beverly Berger ........................ 3 A Missouri relativist in King Gustav’s Court, Clifford Will .................... 6 Gary Horowitz wins the Xanthopoulos award, Abhay Ashtekar ................ 9 Research briefs: Gamma-ray bursts and their possible cosmological implications, Peter Meszaros 12 Current activity and results in laboratory gravity, Riley Newman ............. 15 Update on representations of quantum gravity, Donald Marolf ................ 19 Ligo project report: December 1993, Rochus E. Vogt ......................... 23 Dark matter or new gravity?, Richard Hammond ............................. 25 Conference Reports: Gravitational waves from coalescing compact binaries, Curt Cutler ........... 28 Mach’s principle: from Newton’s bucket to quantum gravity, Dieter Brill ..... 31 Cornelius Lanczos international centenary conference, David Brown .......... 33 Third Midwest relativity conference, David Garfinkle ......................... 36 arXiv:gr-qc/9402002v1 1 Feb 1994 Editor: Jorge Pullin Center for Gravitational Physics and Geometry The Pennsylvania State University University Park, PA 16802-6300 Fax: (814)863-9608 Phone (814)863-9597 Internet: [email protected] 1 Editorial Well, this newsletter is growing into its third year and third number with a lot of strength. In fact, maybe too much strength. Twelve articles and 37 (!) pages. In this number, apart from the ”traditional” research briefs and conference reports we also bring some news for the community, therefore starting to fulfill the original promise of bringing the gravity/relativity community closer together. As usual I am open to suggestions, criticisms and proposals for articles for the next issue, due September 1st. Many thanks to the authors and the correspondents who made this issue possible.