Quantification of entanglement via uncertainties
|
|
- Vincent Murphy
- 7 years ago
- Views:
Transcription
1 Quantification of entanglement via uncertainties Barış Öztop Bilkent University Department of Physics September 2007
2 In blessed memory of Alexander Stanislaw Shumovsky
3
4
5 Outline Introduction what can we say about entanglement? Measure of entanglement Two-qubit systems Higher dimensional bipartite systems Multi-qubit systems Dynamic symmetry approach Basic observables Variance/uncertainty New measure of entanglement Concluding remarks
6 Introduction Wikipedia: Quantum entanglement is a quantum mechanical phenomenon in which the quantum states of two or more objects have to be described with reference to each other, even though the individual objects may be spatially separated. This leads to correlations between observable physical properties of the systems. Stanford Encyclopedia of Philosophy: Quantum entanglement is a physical resource, like energy, associated with the peculiar nonclassical correlations that are possible between separated quantum systems. Entanglement can be measured, transformed, and purified. A pair of quantum systems in an entangled state can be used as a quantum information channel to perform computational and cryptographic tasks that are impossible for classical systems.
7 Entanglement By these two and many other definitions: Entanglement non-classical correlations for two or more systems that are separated spatially. Non-classical correlations non-locality. Non-locality Bell s conditions. But, unentangled states can violate Bell s conditions or violation of Bell s conditions can not be interpreted as an indisputable sign of quantum non-locality. H. Barnum, E. Knill, G. Ortiz, and L. Viola, Phys. Rev. A (2003) A.A. Klyachko, J. Phys.: Conf. Series 36, 87 (2006)
8 Entanglement Entanglement is a physical phenomenon representing the characteristic trait of quantum mechanics (Schödinger 1935). We can all agree that Entanglement is one of the basic resources for quantum computing and quantum information technologies. Quantum teleportation, critical ingredient for quantum computation networks, uses entangled states. Secure communications based on quantum key distribution has been realized by using the properties of the entangled states. = It is needed to find reliable methods of detection of the amount of entanglement carried by the states.
9 Measure of entanglement Two qubits The most basic part of a quantum information system is a qubit two level quantum system (e.g. spin-1/2 particle). A state of two qubits: ψ H = H A H B, ψ = 1 l,l =0 ψ ll l l, dimh A = dimh B = 2. For pure states of two qubits, ρ = ψ ψ, entanglement (entanglement of formation) is entropy of either of the two subsystems E(ψ) = Tr(ρ A log 2 ρ A ) = Tr(ρ B log 2 ρ B ). ρ A(B) is the partial trace of ρ over subsystem A(B).
10 Two qubits This can be recast into E(C) = h C2 (ρ) 2 h(x) = xlog 2 x (1 x)log 2 (1 x) is the binary entropy function and, C(ρ) = max{0, λ 1 λ 2 λ 3 λ 4 } is called concurrence, where λ i s are the square roots of the eigenvalues of the non-hermitian matrix ρ ρ = ρ(σ A y σ B y ρ σ A y σ B y ) and σ A j = σ j 1, σ B j = 1 σ j. E(C) is a monotonically increasing function of C and ranges from 0 to 1 as C goes from 0 to 1 = Concurrence itself is a measure of entanglement. C.H. Bennett et al, Phys. Rev. A 54, 3824 (1996) S. Hill and W.K. Wootters, Phys. Rev. Lett. 78, 5022 (1997).
11 Higher dimensional bipartite systems C(ψ) = 2 det[ψ] = 2 ψ 00 ψ 11 ψ 10 ψ 01 Concurrence can be recast into the form C(ρ) = ν[1 Tr(ρ 2 r)]. Here ν = d/(d 1) where d is the dimensionality of one of the subsystems. ρ r = ρ A = ρ B since reduced operators are isospectral. This general form of concurrence is the measure of the amount of entanglement that is valid for pure bipartite states or arbitrary dimensions. P. Rungta, V. Bužek, C.M. Caves, M. Hillery, and G.J. Milburn, Phys. Rev. A, 64, (2001).
12 Multi-qubit systems Example: Three qubit system An arbitrary normalized state of three qubits ψ = 1 l,m,n=0 ψ lmn lmn. The amount of entanglement in three qubit system is measured by 3-tangle τ(ψ) = 4 D(ψ). Here D(ψ) = det[ψ] the Cayley s hyperdeterminant (in this specific case 3-dimensional determinant) of the 3-dimensional coefficient matrix [ψ]. V. Coffman, J. Kundu and W.K. Wootters, Phys. Rev. A 61, (2000) A. Miyake, Phys. Rev. A 67, (2003). Problem: This only measures all party (in this case 3) correlations.
13 Multi-qubit systems Example: Three qubit system Consider the well-known GHZ-state GHZ = 1 2 ( ). 3-qubit correlations = τ(ghz) = 1, maximally entangled and no pairwise correlations. Consider the W -state W = 1 3 ( No 3-qubit correlations, but obviously there are pair correlations between all three qubits = entanglement, but τ(w ) = 0. What is the amount of entanglement? Consider biseparable state Bi = ( ). Again no 3-qubit correlations, but there are pair correlations between last two qubits = there is entanglement, but τ(bi) = 0. Let s consider another approach to entanglement and a possible measure for its degree.
14 Dynamic symmetry approach Q: What is not entanglement? A: It is a property inherit in quantum systems only. = Any attempt to explain entanglement requires the definition of a quantum system. Quantum entanglement manifests itself via measurement of physical observables (Bell 1966). von Neumann picture: all Hermitian operators represent measurable physical quantities and all of them are supposed to be equally accessible. Physical nature of the system often imposes inevitable constraints. E.g. components of the composite system H AB = H A H B may be spatially separated by tens of kilometers = only local local observations X A and X B are available.
15 Dynamic symmetry approach So, available observables should be included in description of any quantum system from the outset. The basic principles of quantum mechanics seem to require the postulation of a Lie algebra of observables and a representation of this algebra by skew-hermitian operators. (Robert Hermann 1966) Lie algebra of observables L. We choose orthogonal basis X i of L as basic observables, whose measurement give us the whole allowed information about a given state of the system. The corresponding Lie group G = exp(il) determines the dynamic symmetry of the system, dynamic symmetry group. Unitary representation of G in the state space H S is quantum dynamical system. A.A. Klyachko, E-print quant-ph/
16 Dynamic symmetry approach Examples: A qubit (state in two-dimensional Hilbert space H 2 ). Dynamic symmetry groupg = SU(2) Basic observables = 3 Pauli operators X i = σ i, (i = x, y, z). N qubits (state in H = N j=1 H 2 ) Dynamic symmetry group G = N j=1 SU(2) Basic observables = 3N pauli operators (3 Pauli operators for each part) Xi α = σi α (e.g. σi A = σ i 1 1)). }{{} N 1
17 Dynamic symmetry approach Variance The level of quantum fluctuations of a basic observable Xi α ψ H S os a system S is given by the variance V (X α i, ψ) = ψ (X α i ) 2 ψ ψ X α i ψ 2 0. in state Summation over all basic observables of the quantum dynamic system V (ψ) = V α i (Xα i, ψ) = i ψ (Xα i ) 2 ψ ψ Xi α ψ 2 is total uncertainty peculiar to the state ψ. For a compact Lie algebra L, i Xi 2 = C HS 1 is Casimir operator. = V (ψ) = NC HS α N is the number of parties. i ψ Xα i ψ 2,
18 Dynamic symmetry approach Definition of completely entangled states Necessary and sufficient condition of complete entanglement i, α ψ CE X i ψ CE = 0, for ψ CE H S. A.A. Klyachko, E-print quant-ph/ A.A. Klyachko and A.S. Shumovsky 2004 J. Opt. B: Quant. and Semiclas. Optics 6 S29. = V (ψ CE ) = max ψ H S V (ψ) = C HS. Very similar to the maximum of entropy principle, defining the equilibrium states in quantum statistical mechanics (Landau and Lifshitz 1980). These definitions of basic observables and equations of complete entanglement do not assume the composite nature of the system S.
19 Dynamic symmetry approach New measure of entanglement So, one can see entanglement as a manifestation of quantum fluctuations in a state where they come to their extreme! Q: Can total uncertainty for a pure state of a quantum system tell us anything about the amount of entanglement? A: YES! States opposite to entangled ones, those with minimal total level of quantum fluctuations are known as coherent states. For multicomponent systems like H A H B ψ coh = ψ A ψ B. For two component systems C 2 (ψ) = V (ψ) V coh V CE V coh. A.A. Klyachko, B. Öztop and A.S. Shumovsky, Appl. Phys. Lett. 88, (2006).
20 Dynamic symmetry approach New measure of entanglement This clarifies physical meaning of the concurrence as a measure of overall quantum fluctuations in the system and leads us to the natural measure of entanglement of pure states µ(ψ) = V (ψ) V coh V CE V coh. A.A. Klyachko, B. Öztop and A.S. Shumovsky, Phys. Rev. A 75, (2007). This measure is shown to be valid to measure the amount of entanglement for pure states of any dimensional multi-component systems. For bipartite systems of arbitrary dimensions it coincides with the earlier definition C(ψ) = d d 1 (1 Tr ρ2 r).
21 Dynamic symmetry approach New measure of entanglement In the case of multipartite system, it gives the total amount of entanglement carried by all types of inter-party correlations. Examples GHZ-type state of three qubits G = x x 2 111, x [0, 1] carries only 3-party entanglement and its amount is τ(g) = 4 x 2 (1 x 2 ). Easy to check τ(g) = µ 2 (G). W -state of three qubits W = 1 3 ( ) is a nonseparable state, but it does not manifest 3-party entanglement, τ(w ) = 0. The measure µ(w ) = is nonzero since there is 2-qubit entanglement. Similar results can be obtained for the so-called biseparable states of three qubits (e.g. Bi = ( )) since there is also 2-qubit entanglement.
22 Conclusion Successful measures of entanglement for some specific type of systems are present, and they work well within their boundaries. We need a precise definition of a quantum system to define and measure a quantum-only property = dynamic symmetry approach. A new measure of entanglement for pure states of arbitrary systems, it works for the known examples and measures entanglement carried by all types of inter-party correlations. It cannot be directly applied to calculation of entanglement of mixed states because it is incapable of separation of classical and quantum contributions into the total variance. Therefore, µ(ρ) always gives estimation from above for the entanglement of mixed states.
arxiv:quant-ph/9607009v1 11 Jul 1996
Distillability of Inseparable Quantum Systems Micha l Horodecki Department of Mathematics and Physics University of Gdańsk, 80 952 Gdańsk, Poland arxiv:quant-ph/9607009v1 11 Jul 1996 Pawe l Horodecki Faculty
More informationMutltiparticle Entanglement. Andreas Osterloh Krakow, 31.03.2014
Mutltiparticle Entanglement Andreas Osterloh Krakow, 31.3.214 Outline Introduction to entanglement Genuine multipartite entanglement Balanced states Generalizations single particle d ψ H = C d ; ψ = ψ
More informationDetection of quantum entanglement in physical systems
Detection of quantum entanglement in physical systems Carolina Moura Alves Merton College University of Oxford A thesis submitted for the degree of Doctor of Philosophy Trinity 2005 Abstract Quantum entanglement
More informationBOX. The density operator or density matrix for the ensemble or mixture of states with probabilities is given by
2.4 Density operator/matrix Ensemble of pure states gives a mixed state BOX The density operator or density matrix for the ensemble or mixture of states with probabilities is given by Note: Once mixed,
More information0.1 Phase Estimation Technique
Phase Estimation In this lecture we will describe Kitaev s phase estimation algorithm, and use it to obtain an alternate derivation of a quantum factoring algorithm We will also use this technique to design
More informationQuantum Mechanics and Representation Theory
Quantum Mechanics and Representation Theory Peter Woit Columbia University Texas Tech, November 21 2013 Peter Woit (Columbia University) Quantum Mechanics and Representation Theory November 2013 1 / 30
More informationQuantum Computing. Robert Sizemore
Quantum Computing Robert Sizemore Outline Introduction: What is quantum computing? What use is quantum computing? Overview of Quantum Systems Dirac notation & wave functions Two level systems Classical
More informationarxiv:1410.3605v2 [quant-ph] 13 May 2015
Locality and Classicality: role of entropic inequalities arxiv:1410.3605v2 [quant-ph] 13 May 2015 J. Batle 1, Mahmoud Abdel-Aty 2,3, C. H. Raymond Ooi 4, S. Abdalla 5 and Y. Al-hedeethi 5 1 Departament
More informationChapter 9 Unitary Groups and SU(N)
Chapter 9 Unitary Groups and SU(N) The irreducible representations of SO(3) are appropriate for describing the degeneracies of states of quantum mechanical systems which have rotational symmetry in three
More informationTowards a Tight Finite Key Analysis for BB84
The Uncertainty Relation for Smooth Entropies joint work with Charles Ci Wen Lim, Nicolas Gisin and Renato Renner Institute for Theoretical Physics, ETH Zurich Group of Applied Physics, University of Geneva
More informationQUANTUM INFORMATION, COMPUTATION AND FUNDAMENTAL LIMITATION
Arun K. Pati Theoretical Physics Division QUANTUM INFORMATION, COMPUTATION AND FUNDAMENTAL LIMITATION Introduction Quantum information theory is a marriage between two scientific pillars of the twentieth
More informationIntroduction to Matrix Algebra
Psychology 7291: Multivariate Statistics (Carey) 8/27/98 Matrix Algebra - 1 Introduction to Matrix Algebra Definitions: A matrix is a collection of numbers ordered by rows and columns. It is customary
More information15.062 Data Mining: Algorithms and Applications Matrix Math Review
.6 Data Mining: Algorithms and Applications Matrix Math Review The purpose of this document is to give a brief review of selected linear algebra concepts that will be useful for the course and to develop
More informationSimilarity and Diagonalization. Similar Matrices
MATH022 Linear Algebra Brief lecture notes 48 Similarity and Diagonalization Similar Matrices Let A and B be n n matrices. We say that A is similar to B if there is an invertible n n matrix P such that
More information8.04: Quantum Mechanics Professor Allan Adams Massachusetts Institute of Technology. Problem Set 5
8.04: Quantum Mechanics Professor Allan Adams Massachusetts Institute of Technology Tuesday March 5 Problem Set 5 Due Tuesday March 12 at 11.00AM Assigned Reading: E&R 6 9, App-I Li. 7 1 4 Ga. 4 7, 6 1,2
More informationLeast-Squares Intersection of Lines
Least-Squares Intersection of Lines Johannes Traa - UIUC 2013 This write-up derives the least-squares solution for the intersection of lines. In the general case, a set of lines will not intersect at a
More information3. Let A and B be two n n orthogonal matrices. Then prove that AB and BA are both orthogonal matrices. Prove a similar result for unitary matrices.
Exercise 1 1. Let A be an n n orthogonal matrix. Then prove that (a) the rows of A form an orthonormal basis of R n. (b) the columns of A form an orthonormal basis of R n. (c) for any two vectors x,y R
More informationAuthentic Digital Signature Based on Quantum Correlation
Authentic Digital Signature Based on Quantum Correlation Xiao-Jun Wen, Yun Liu School of Electronic Information Engineering, Beijing Jiaotong University, Beijing 00044, China Abstract: An authentic digital
More informationTeaching the mathematics of quantum entanglement using elementary mathematical tools
ENSEÑANZA Revista Mexicana de Física E 58 (20) 6 66 JUNIO 20 Teaching the mathematics of quantum entanglement using elementary mathematical tools A. Gómez-Rodríguez Departamento de Materia Condensada,
More informationEntanglement and its Role in Shor's Algorithm
ntanglement and its Role in Shor's Algorithm Vivien M. Kendon 1, William J. Munro Trusted Systems Laboratory P Laboratories Bristol PL-2005-215 December 5, 2005* entanglement, Shor's algorithm ntanglement
More informationChapter 17. Orthogonal Matrices and Symmetries of Space
Chapter 17. Orthogonal Matrices and Symmetries of Space Take a random matrix, say 1 3 A = 4 5 6, 7 8 9 and compare the lengths of e 1 and Ae 1. The vector e 1 has length 1, while Ae 1 = (1, 4, 7) has length
More informationBits Superposition Quantum Parallelism
7-Qubit Quantum Computer Typical Ion Oscillations in a Trap Bits Qubits vs Each qubit can represent both a or at the same time! This phenomenon is known as Superposition. It leads to Quantum Parallelism
More informationMASTER OF SCIENCE IN PHYSICS MASTER OF SCIENCES IN PHYSICS (MS PHYS) (LIST OF COURSES BY SEMESTER, THESIS OPTION)
MASTER OF SCIENCE IN PHYSICS Admission Requirements 1. Possession of a BS degree from a reputable institution or, for non-physics majors, a GPA of 2.5 or better in at least 15 units in the following advanced
More informationQuantum Computation: Towards the Construction of a Between Quantum and Classical Computer
Quantum Computation: Towards the Construction of a Between Quantum and Classical Computer Diederik Aerts and Bart D Hooghe Center Leo Apostel for Interdisciplinary Studies (CLEA) Foundations of the Exact
More informationOPRE 6201 : 2. Simplex Method
OPRE 6201 : 2. Simplex Method 1 The Graphical Method: An Example Consider the following linear program: Max 4x 1 +3x 2 Subject to: 2x 1 +3x 2 6 (1) 3x 1 +2x 2 3 (2) 2x 2 5 (3) 2x 1 +x 2 4 (4) x 1, x 2
More informationQuantum Network Coding
Salah A. Aly Department of Computer Science Texas A& M University Quantum Computing Seminar April 26, 2006 Network coding example In this butterfly network, there is a source S 1 and two receivers R 1
More informationQuantum Computing Lecture 7. Quantum Factoring. Anuj Dawar
Quantum Computing Lecture 7 Quantum Factoring Anuj Dawar Quantum Factoring A polynomial time quantum algorithm for factoring numbers was published by Peter Shor in 1994. polynomial time here means that
More informationarxiv:quant-ph/0611042v2 8 Nov 2006
Quantum states characterization for the zero-error capacity arxiv:quant-ph/0611042v2 8 Nov 2006 Rex A C Medeiros,,1,2 Romain Alléaume,2, Gérard Cohen,3 and Francisco M. de Assis,4 Département Informatique
More informationLecture L3 - Vectors, Matrices and Coordinate Transformations
S. Widnall 16.07 Dynamics Fall 2009 Lecture notes based on J. Peraire Version 2.0 Lecture L3 - Vectors, Matrices and Coordinate Transformations By using vectors and defining appropriate operations between
More information"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
1 2 "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 the quantum of action 3 Newton believed in the corpuscular
More informationPHYSICAL REVIEW A 79, 052110 2009. Multiple-time states and multiple-time measurements in quantum mechanics
Multiple-time states and multiple-time measurements in quantum mechanics Yakir Aharonov, 1, Sandu Popescu, 3,4 Jeff Tollaksen, and Lev Vaidman 1 1 Raymond and Beverly Sackler School of Physics and Astronomy,
More informationBevezetés a kvantum-informatikába és kommunikációba 2014/2015 tavasz. Mérés, NCT, kvantumállapot. 2015. március 12.
Bevezetés a kvantum-informatikába és kommunikációba 2014/2015 tavasz Mérés, NCT, kvantumállapot 2015. március 12. Tegnap még összefonódtam, mára megmértek 2015.03.18. 2 Slides for Quantum Computing and
More informationApplied Linear Algebra I Review page 1
Applied Linear Algebra Review 1 I. Determinants A. Definition of a determinant 1. Using sum a. Permutations i. Sign of a permutation ii. Cycle 2. Uniqueness of the determinant function in terms of properties
More informationA Modest View of Bell s Theorem. Steve Boughn, Princeton University and Haverford College
A Modest View of Bell s Theorem Steve Boughn, Princeton University and Haverford College Talk given at the 2016 Princeton-TAMU Symposium on Quantum Noise Effects in Thermodynamics, Biology and Information
More informationNotes on Orthogonal and Symmetric Matrices MENU, Winter 2013
Notes on Orthogonal and Symmetric Matrices MENU, Winter 201 These notes summarize the main properties and uses of orthogonal and symmetric matrices. We covered quite a bit of material regarding these topics,
More informationLinear Algebra: Vectors
A Linear Algebra: Vectors A Appendix A: LINEAR ALGEBRA: VECTORS TABLE OF CONTENTS Page A Motivation A 3 A2 Vectors A 3 A2 Notational Conventions A 4 A22 Visualization A 5 A23 Special Vectors A 5 A3 Vector
More informationarxiv:quant-ph/0404128v1 22 Apr 2004
How to teach Quantum Mechanics arxiv:quant-ph/0404128v1 22 Apr 2004 Oliver Passon Fachbereich Physik, University of Wuppertal Postfach 100 127, 42097 Wuppertal, Germany E-mail: Oliver.Passon@cern.ch In
More informationSimulation of quantum dynamics via classical collective behavior
arxiv:quant-ph/0602155v1 17 Feb 2006 Simulation of quantum dynamics via classical collective behavior Yu.I.Ozhigov Moscow State University, Institute of physics and technology of RAS March 25, 2008 Abstract
More informationISOMETRIES OF R n KEITH CONRAD
ISOMETRIES OF R n KEITH CONRAD 1. Introduction An isometry of R n is a function h: R n R n that preserves the distance between vectors: h(v) h(w) = v w for all v and w in R n, where (x 1,..., x n ) = x
More informationEigenvalues, Eigenvectors, Matrix Factoring, and Principal Components
Eigenvalues, Eigenvectors, Matrix Factoring, and Principal Components The eigenvalues and eigenvectors of a square matrix play a key role in some important operations in statistics. In particular, they
More informationENTANGLEMENT EXCHANGE AND BOHMIAN MECHANICS
ENTANGLEMENT EXCHANGE AND BOHMIAN MECHANICS NICK HUGGETT TIZIANA VISTARINI PHILOSOPHY, UNIVERSITY OF ILLINOIS AT CHICAGO When two systems, of which we know the states by their respective representatives,
More informationThe Graphical Method: An Example
The Graphical Method: An Example Consider the following linear program: Maximize 4x 1 +3x 2 Subject to: 2x 1 +3x 2 6 (1) 3x 1 +2x 2 3 (2) 2x 2 5 (3) 2x 1 +x 2 4 (4) x 1, x 2 0, where, for ease of reference,
More informationQuantum Computation with Bose-Einstein Condensation and. Capable of Solving NP-Complete and #P Problems. Abstract
Quantum Computation with Bose-Einstein Condensation and Capable of Solving NP-Complete and #P Problems Yu Shi Cavendish Laboratory, University of Cambridge, Cambridge CB3 0HE, United Kingdom Abstract It
More informationHow To Solve An Npa-Complete Problems With Quantum Computing And Chaotic Dynamics
CDMTCS Research Report Series A New Quantum Algorithm for NP-complete Problems Masanori Ohya Igor V. Volovich Science University of Tokyo Steklov Mathematical Institute CDMTCS-194 September 00 Centre for
More informationNotes from February 11
Notes from February 11 Math 130 Course web site: www.courses.fas.harvard.edu/5811 Two lemmas Before proving the theorem which was stated at the end of class on February 8, we begin with two lemmas. The
More informationIs Quantum Mechanics Exact?
Is Quantum Mechanics Exact? Anton Kapustin Simons Center for Geometry and Physics Stony Brook University This year Quantum Theory will celebrate its 90th birthday. Werner Heisenberg s paper Quantum theoretic
More informationEntanglement Dynamics in Quantum Information Theory
Technische Universität München Max-Planck-Institut für Quantenoptik Entanglement Dynamics in Quantum Information Theory Toby S. Cubitt Vollständiger Abdruck der von der Fakultät für Physik der Technischen
More informationQuantum Computing and Grover s Algorithm
Quantum Computing and Grover s Algorithm Matthew Hayward January 14, 2015 1 Contents 1 Motivation for Study of Quantum Computing 3 1.1 A Killer App for Quantum Computing.............. 3 2 The Quantum Computer
More information8 Square matrices continued: Determinants
8 Square matrices continued: Determinants 8. Introduction Determinants give us important information about square matrices, and, as we ll soon see, are essential for the computation of eigenvalues. You
More informationIntroduction to Quantum Computing
Introduction to Quantum Computing Javier Enciso encisomo@in.tum.de Joint Advanced Student School 009 Technische Universität München April, 009 Abstract In this paper, a gentle introduction to Quantum Computing
More informationDominik Janzing. Computer Science Approach to Quantum Control
Dominik Janzing Computer Science Approach to Quantum Control Computer Science Approach to Quantum Control von Dominik Janzing Habilitation, Universität Karlsruhe (TH) Fakultät für Informatik, 2006 Impressum
More information3.1 Solving Systems Using Tables and Graphs
Algebra 2 Chapter 3 3.1 Solve Systems Using Tables & Graphs 3.1 Solving Systems Using Tables and Graphs A solution to a system of linear equations is an that makes all of the equations. To solve a system
More informationCoding Theoretic Construction of Quantum Ramp Secret Sharing
Coding Theoretic Construction of Quantum Ramp Secret Sharing Ryutaroh Matsumoto Department of Communications and Computer Engineering Tokyo Institute of Technology, 52-8550 Japan Email: ryutaroh@it.ce.titech.ac.jp
More informationFactor Analysis. Chapter 420. Introduction
Chapter 420 Introduction (FA) is an exploratory technique applied to a set of observed variables that seeks to find underlying factors (subsets of variables) from which the observed variables were generated.
More information7. Show that the expectation value function that appears in Lecture 1, namely
Lectures on quantum computation by David Deutsch Lecture 1: The qubit Worked Examples 1. You toss a coin and observe whether it came up heads or tails. (a) Interpret this as a physics experiment that ends
More informationMAT 200, Midterm Exam Solution. a. (5 points) Compute the determinant of the matrix A =
MAT 200, Midterm Exam Solution. (0 points total) a. (5 points) Compute the determinant of the matrix 2 2 0 A = 0 3 0 3 0 Answer: det A = 3. The most efficient way is to develop the determinant along the
More informationLinear Algebra Review. Vectors
Linear Algebra Review By Tim K. Marks UCSD Borrows heavily from: Jana Kosecka kosecka@cs.gmu.edu http://cs.gmu.edu/~kosecka/cs682.html Virginia de Sa Cogsci 8F Linear Algebra review UCSD Vectors The length
More informationKeywords Quantum logic gates, Quantum computing, Logic gate, Quantum computer
Volume 3 Issue 10 October 2013 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com An Introduction
More informationarxiv:quant-ph/0002033v2 12 Jun 2000
Multi-Valued Logic Gates for Quantum Computation Ashok Muthukrishnan and C. R. Stroud, Jr. The Institute of Optics, University of Rochester, Rochester, New York 1467 (February 1, 008) arxiv:quant-ph/000033v
More informationNumerical Analysis Lecture Notes
Numerical Analysis Lecture Notes Peter J. Olver 5. Inner Products and Norms The norm of a vector is a measure of its size. Besides the familiar Euclidean norm based on the dot product, there are a number
More informationUnsupervised and supervised dimension reduction: Algorithms and connections
Unsupervised and supervised dimension reduction: Algorithms and connections Jieping Ye Department of Computer Science and Engineering Evolutionary Functional Genomics Center The Biodesign Institute Arizona
More informationTHE APPROXIMATION OF ONE MATRIX BY ANOTHER OF LOWER RANK. CARL ECKART AND GALE YOUNG University of Chicago, Chicago, Illinois
PSYCHOMETRIKA--VOL. I, NO. 3 SEPTEMBER, 193.6 THE APPROXIMATION OF ONE MATRIX BY ANOTHER OF LOWER RANK CARL ECKART AND GALE YOUNG University of Chicago, Chicago, Illinois The mathematical problem of approximating
More informationEntanglement analysis of atomic processes and quantum registers
Entanglement analysis of atomic processes and quantum registers Inaugural-Dissertation zur Erlangung des akademischen Grades Doktor der Naturwissenschaften Dr. rer. nat. vorgelegt beim Fachbereich Naturwissenschaften
More informationarxiv:hep-th/0507236v1 25 Jul 2005
Non perturbative series for the calculation of one loop integrals at finite temperature Paolo Amore arxiv:hep-th/050736v 5 Jul 005 Facultad de Ciencias, Universidad de Colima, Bernal Diaz del Castillo
More informationTheory of electrons and positrons
P AUL A. M. DIRAC Theory of electrons and positrons Nobel Lecture, December 12, 1933 Matter has been found by experimental physicists to be made up of small particles of various kinds, the particles of
More informationCAUSALITY AND NONLOCALITY AS AXIOMS FOR QUANTUM MECHANICS
TAUP 2452-97 CAUSALITY AND NONLOCALITY AS AXIOMS FOR QUANTUM MECHANICS Sandu Popescu Isaac Newton Institute, 20 Clarkson Road, Cambridge, U.K. CB3 0EH Daniel Rohrlich School of Physics and Astronomy, Tel
More informationReview Jeopardy. Blue vs. Orange. Review Jeopardy
Review Jeopardy Blue vs. Orange Review Jeopardy Jeopardy Round Lectures 0-3 Jeopardy Round $200 How could I measure how far apart (i.e. how different) two observations, y 1 and y 2, are from each other?
More informationOn Quantum Hamming Bound
On Quantum Hamming Bound Salah A. Aly Department of Computer Science, Texas A&M University, College Station, TX 77843-3112, USA Email: salah@cs.tamu.edu We prove quantum Hamming bound for stabilizer codes
More informationUniversity of Warwick institutional repository: http://go.warwick.ac.uk/wrap. A Thesis Submitted for the Degree of PhD at the University of Warwick
University of Warwick institutional repository: http://go.warwick.ac.uk/wrap A Thesis Submitted for the Degree of PhD at the University of Warwick http://go.warwick.ac.uk/wrap/63940 This thesis is made
More informationarxiv:quant-ph/0405110v3 14 Feb 2005
Information-capacity description of spin-chain correlations Vittorio Giovannetti and Rosario Fazio NEST-INFM & Scuola Normale Superiore, piazza dei Cavalieri 7, I-5616 Pisa, Italy. Information capacities
More informationECON 459 Game Theory. Lecture Notes Auctions. Luca Anderlini Spring 2015
ECON 459 Game Theory Lecture Notes Auctions Luca Anderlini Spring 2015 These notes have been used before. If you can still spot any errors or have any suggestions for improvement, please let me know. 1
More informationThe Quantum Harmonic Oscillator Stephen Webb
The Quantum Harmonic Oscillator Stephen Webb The Importance of the Harmonic Oscillator The quantum harmonic oscillator holds a unique importance in quantum mechanics, as it is both one of the few problems
More informationGroup Theory and Molecular Symmetry
Group Theory and Molecular Symmetry Molecular Symmetry Symmetry Elements and perations Identity element E - Apply E to object and nothing happens. bject is unmoed. Rotation axis C n - Rotation of object
More informationContinuous Groups, Lie Groups, and Lie Algebras
Chapter 7 Continuous Groups, Lie Groups, and Lie Algebras Zeno was concerned with three problems... These are the problem of the infinitesimal, the infinite, and continuity... Bertrand Russell The groups
More informationarxiv:1509.06896v2 [quant-ph] 17 Oct 2015
ON HIDDEN VARIABLES: VALUE AND EXPECTATION NO-GO THEOREMS arxiv:1509.06896v2 [quant-ph] 17 Oct 2015 ANDREAS BLASS AND YURI GUREVICH Abstract. No-go theorems assert that hidden-variable theories, subject
More informationOpen Problems in Quantum Information Processing. John Watrous Department of Computer Science University of Calgary
Open Problems in Quantum Information Processing John Watrous Department of Computer Science University of Calgary #1 Open Problem Find new quantum algorithms. Existing algorithms: Shor s Algorithm (+ extensions)
More information1 2 3 1 1 2 x = + x 2 + x 4 1 0 1
(d) If the vector b is the sum of the four columns of A, write down the complete solution to Ax = b. 1 2 3 1 1 2 x = + x 2 + x 4 1 0 0 1 0 1 2. (11 points) This problem finds the curve y = C + D 2 t which
More informationarxiv:1404.6042v1 [math.dg] 24 Apr 2014
Angle Bisectors of a Triangle in Lorentzian Plane arxiv:1404.604v1 [math.dg] 4 Apr 014 Joseph Cho August 5, 013 Abstract In Lorentzian geometry, limited definition of angles restricts the use of angle
More informationArkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan
Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan 3 Binary Operations We are used to addition and multiplication of real numbers. These operations combine two real numbers
More information1 Review of Least Squares Solutions to Overdetermined Systems
cs4: introduction to numerical analysis /9/0 Lecture 7: Rectangular Systems and Numerical Integration Instructor: Professor Amos Ron Scribes: Mark Cowlishaw, Nathanael Fillmore Review of Least Squares
More informationHello, my name is Olga Michasova and I present the work The generalized model of economic growth with human capital accumulation.
Hello, my name is Olga Michasova and I present the work The generalized model of economic growth with human capital accumulation. 1 Without any doubts human capital is a key factor of economic growth because
More informationA class of quantum LDPC codes: construction and performances under iterative decoding
A class of quantum LDPC codes: construction and performances under iterative decoding Thomas Camara INRIA, Projet Codes, BP 05, Domaine de Voluceau F-7853 Le Chesnay, France. Email: thomas.camara@inria.fr
More informationSecond Order Linear Partial Differential Equations. Part I
Second Order Linear Partial Differential Equations Part I Second linear partial differential equations; Separation of Variables; - point boundary value problems; Eigenvalues and Eigenfunctions Introduction
More informationThe New Approach of Quantum Cryptography in Network Security
The New Approach of Quantum Cryptography in Network Security Avanindra Kumar Lal 1, Anju Rani 2, Dr. Shalini Sharma 3 (Avanindra kumar) Abstract There are multiple encryption techniques at present time
More informationAn elementary proof of Wigner's theorem on quantum mechanical symmetry transformations
An elementary proof of Wigner's theorem on quantum mechanical symmetry transformations University of Szeged, Bolyai Institute and MTA-DE "Lendület" Functional Analysis Research Group, University of Debrecen
More informationQUANTUM COMPUTER ELEMENTS BASED ON COUPLED QUANTUM WAVEGUIDES
Ó³ Ÿ. 2007.. 4, º 2(138).. 237Ä243 Š Œ œ ƒˆˆ ˆ ˆŠˆ QUANTUM COMPUTER ELEMENTS BASED ON COUPLED QUANTUM WAVEGUIDES M. I. Gavrilov, L. V. Gortinskaya, A. A. Pestov, I. Yu. Popov 1, E. S. Tesovskaya Department
More informationExamples on Monopoly and Third Degree Price Discrimination
1 Examples on Monopoly and Third Degree Price Discrimination This hand out contains two different parts. In the first, there are examples concerning the profit maximizing strategy for a firm with market
More informationTime dependence in quantum mechanics Notes on Quantum Mechanics
Time dependence in quantum mechanics Notes on Quantum Mechanics http://quantum.bu.edu/notes/quantummechanics/timedependence.pdf Last updated Thursday, November 20, 2003 13:22:37-05:00 Copyright 2003 Dan
More informationTHE DIMENSION OF A VECTOR SPACE
THE DIMENSION OF A VECTOR SPACE KEITH CONRAD This handout is a supplementary discussion leading up to the definition of dimension and some of its basic properties. Let V be a vector space over a field
More information1 = (a 0 + b 0 α) 2 + + (a m 1 + b m 1 α) 2. for certain elements a 0,..., a m 1, b 0,..., b m 1 of F. Multiplying out, we obtain
Notes on real-closed fields These notes develop the algebraic background needed to understand the model theory of real-closed fields. To understand these notes, a standard graduate course in algebra is
More informationZeros of Polynomial Functions
Zeros of Polynomial Functions Objectives: 1.Use the Fundamental Theorem of Algebra to determine the number of zeros of polynomial functions 2.Find rational zeros of polynomial functions 3.Find conjugate
More informationStatistical mechanics for real biological networks
Statistical mechanics for real biological networks William Bialek Joseph Henry Laboratories of Physics, and Lewis-Sigler Institute for Integrative Genomics Princeton University Initiative for the Theoretical
More informationFactor Analysis. Sample StatFolio: factor analysis.sgp
STATGRAPHICS Rev. 1/10/005 Factor Analysis Summary The Factor Analysis procedure is designed to extract m common factors from a set of p quantitative variables X. In many situations, a small number of
More informationHow To Prove The Dirichlet Unit Theorem
Chapter 6 The Dirichlet Unit Theorem As usual, we will be working in the ring B of algebraic integers of a number field L. Two factorizations of an element of B are regarded as essentially the same if
More informationIdeal Class Group and Units
Chapter 4 Ideal Class Group and Units We are now interested in understanding two aspects of ring of integers of number fields: how principal they are (that is, what is the proportion of principal ideals
More informationPhysik Department. Matrix Product Formalism
Physik Department Matrix Product Formalism Diplomarbeit von María Gracia Eckholt Perotti Angefertigt an der Technische Universität München und am Max-Planck-Institut für Quantenoptik Garching, September
More information4. Matrix Methods for Analysis of Structure in Data Sets:
ATM 552 Notes: Matrix Methods: EOF, SVD, ETC. D.L.Hartmann Page 64 4. Matrix Methods for Analysis of Structure in Data Sets: Empirical Orthogonal Functions, Principal Component Analysis, Singular Value
More informationIntroduction to the Monte Carlo method
Some history Simple applications Radiation transport modelling Flux and Dose calculations Variance reduction Easy Monte Carlo Pioneers of the Monte Carlo Simulation Method: Stanisław Ulam (1909 1984) Stanislaw
More informationDecember 4, 2013 MATH 171 BASIC LINEAR ALGEBRA B. KITCHENS
December 4, 2013 MATH 171 BASIC LINEAR ALGEBRA B KITCHENS The equation 1 Lines in two-dimensional space (1) 2x y = 3 describes a line in two-dimensional space The coefficients of x and y in the equation
More informationASEN 3112 - Structures. MDOF Dynamic Systems. ASEN 3112 Lecture 1 Slide 1
19 MDOF Dynamic Systems ASEN 3112 Lecture 1 Slide 1 A Two-DOF Mass-Spring-Dashpot Dynamic System Consider the lumped-parameter, mass-spring-dashpot dynamic system shown in the Figure. It has two point
More information