Morphophoric Povms, Generalised Qplexes, Ewline and 2-Designs
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Some Properties of the Essential Numerical Range on Banach Spaces
Pure Mathematical Sciences, Vol. 6, 2017, no. 1, 105 - 111 HIKARI Ltd, www.m-hikari.com https://doi.org/10.12988/pms.2017.7912 Some Properties of the Essential Numerical Range on Banach Spaces L. N. Muhati, J. O. Bonyo and J. O. Agure Department of Pure and Applied Mathematics Maseno University, P.O. Box 333 - 40105, Maseno, Kenya Copyright c 2017 L. N. Muhati, J. O. Bonyo and J. O. Agure. This article is dis- tributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract We study the properties of the essential algebraic numerical range as well as the essential spatial numerical range for Banach space operators. Mathematics Subject Classification: 47A10; 47A05; 47A53 Keywords: Essential algebraic numerical range, Essential spatial numer- ical range, Calkin algebra 1 Introduction Let A be a complex normed algebra with a unit and let A∗ denote its dual space. For a comprehensive theory on normed algebras, we refer to [4]. We define the algebraic numerical range of an element a 2 A by V (a; A) = ff(a): f 2 A∗; f(1) = 1 = kfkg. Let X denote a complex Banach space and L(X) be the Banach algebra of all bounded linear operators acting on X. We de- note the algebraic numerical range of any T 2 L(X) by V (T; L(X)). For T 2 L(X), the spatial numerical range is defined by W (T ) = fhT x; x∗i : x 2 X; x∗ 2 X∗; kxk = 1 = kx∗k = hx; x∗ig. -
Numerical Range of Operators, Numerical Index of Banach Spaces, Lush Spaces, and Slicely Countably Determined Banach Spaces
Numerical range of operators, numerical index of Banach spaces, lush spaces, and Slicely Countably Determined Banach spaces Miguel Martín University of Granada (Spain) June 5, 2009 Preface This text is not a book and it is not in its nal form. This is going to be used as classroom notes for the talks I am going to give in the Workshop on Geometry of Banach spaces and its Applications (sponsored by Indian National Board for Higher Mathematics) to be held at the Indian Statistical Institute, Bangalore (India), on 1st - 13th June 2009. Miguel Martín Contents Preface 3 Basic notation7 1 Numerical Range of operators. Surjective isometries9 1.1 Introduction.....................................9 1.2 The exponential function. Isometries....................... 15 1.3 Finite-dimensional spaces with innitely many isometries............ 17 1.3.1 The dimension of the Lie algebra..................... 19 1.4 Surjective isometries and duality......................... 20 2 Numerical index of Banach spaces 23 2.1 Introduction..................................... 23 2.2 Computing the numerical index.......................... 23 2.3 Numerical index and duality............................ 28 2.4 Banach spaces with numerical index one..................... 32 2.5 Renorming and numerical index.......................... 34 2.6 Finite-dimensional spaces with numerical index one: asymptotic behavior.. 38 2.7 Relationship to the Daugavet property....................... 39 2.8 Smoothness, convexity and numerical index 1 .................. 43 3 Lush spaces 47 3.1 Examples of lush spaces.............................. 49 5 3.2 Lush renormings.................................. 52 3.3 Some reformulations of lushness.......................... 53 3.4 Lushness is not equivalent to numerical index 1 ................. 55 3.5 Stability results for lushness............................ 56 4 Slicely countably determined Banach spaces 59 4.1 Slicely countably determined sets........................ -
Arxiv:1001.0543V2 [Quant-Ph] 10 Oct 2010
Optimal reconstruction of the states in qutrits system Fei Yan,1 Ming Yang∗,1 and Zhuo-Liang Cao2 1Key Laboratory of Opto-electronic Information Acquisition and Manipulation, Ministry of Education, School of Physics and Material Science, Anhui University, Hefei 230039, People's Republic of China 2Department of Physics & Electronic Engineering, Hefei Normal University, Hefei 230061, People's Republic of China Based on mutually unbiased measurements, an optimal tomographic scheme for the multiqutrit states is pre- sented explicitly. Because the reconstruction process of states based on mutually unbiased states is free of information waste, we refer to our scheme as the optimal scheme. By optimal we mean that the number of the required conditional operations reaches the minimum in this tomographic scheme for the states of qutrit systems. Special attention will be paid to how those different mutually unbiased measurements are realized; that is, how to decompose each transformation that connects each mutually unbiased basis with the standard computational basis. It is found that all those transformations can be decomposed into several basic implementable single- and two-qutrit unitary operations. For the three-qutrit system, there exist five different mutually unbiased-bases structures with different entanglement properties, so we introduce the concept of physical complexity to min- imize the number of nonlocal operations needed over the five different structures. This scheme is helpful for experimental scientists to realize the most economical reconstruction of quantum states in qutrit systems. PACS numbers: 03.65.Wj, 03.65.Ta, 03.65.Ud, 03.67.Mn I. INTRODUCTION is redundancy in these results in the previously used quantum tomography processes [12], which causes a resources waste. -
Mutually Unbiased Bases and Symmetric Informationally Complete Measurements in Bell Experiments
Mutually unbiased bases and symmetric informationally complete measurements in Bell experiments Armin Tavakoli,1 Máté Farkas,2, 3 Denis Rosset,4 Jean-Daniel Bancal,1 and J˛edrzejKaniewski5 1Department of Applied Physics, University of Geneva, 1211 Geneva, Switzerland 2Institute of Theoretical Physics and Astrophysics, National Quantum Information Centre, Faculty of Mathematics, Physics and Informatics, University of Gdansk, 80-952 Gdansk, Poland 3International Centre for Theory of Quantum Technologies, University of Gdansk, 80-308 Gdansk, Poland 4Perimeter Institute for Theoretical Physics, 31 Caroline St. N, Waterloo, Ontario, N2L 2Y5, Canada 5Faculty of Physics, University of Warsaw, Pasteura 5, 02-093 Warsaw, Poland (Dated: October 21, 2020) Mutually unbiased bases (MUBs) and symmetric informationally complete projectors (SICs) are crucial to many conceptual and practical aspects of quantum theory. Here, we develop their role in quantum nonlocality by: i) introducing families of Bell inequalities that are maximally violated by d-dimensional MUBs and SICs respectively, ii) proving device-independent certification of natural operational notions of MUBs and SICs, and iii) using MUBs and SICs to develop optimal-rate and nearly optimal-rate protocols for device independent quantum key distribution and device-independent quantum random number generation respectively. Moreover, we also present the first example of an extremal point of the quantum set of correlations which admits physically inequivalent quantum realisations. Our results elaborately demonstrate the foundational and practical relevance of the two most important discrete Hilbert space structures to the field of quantum nonlocality. One-sentence summary — Quantum nonlocality is de- a single measurement. Since MUBs and SICs are both con- veloped based on the two most celebrated discrete struc- ceptually natural, elegant and (as it turns out) practically im- tures in quantum theory. -
Numerical Range and Functional Calculus in Hilbert Space
Numerical range and functional calculus in Hilbert space Michel Crouzeix Abstract We prove an inequality related to polynomial functions of a square matrix, involving the numerical range of the matrix. We also show extensions valid for bounded and also unbounded operators in Hilbert spaces, which allow the development of a functional calculus. Mathematical subject classification : 47A12 ; 47A25 Keywords : functional calculus, numerical range, spectral sets. 1 Introduction In this paper H denotes a complex Hilbert space equipped with the inner product . , . and h i corresponding norm v = v, v 1/2. We denote its unit sphere by Σ := v H; v = 1 . For k k h i H { ∈ k k } a bounded linear operator A (H) we use the operator norm A and denote by W (A) its ∈ L k k numerical range : A := sup A v , W (A) := Av,v ; v ΣH . k k v ΣH k k {h i ∈ } ∈ Recall that the numerical range is a convex subset of C and that its closure contains the spectrum of A. We keep the same notation in the particular case where H = Cd and A is a d d matrix. × The main aim of this article is to prove that the inequality p(A) 56 sup p(z) (1) k k≤ z W (A) | | ∈ holds for any matrix A Cd,d and any polynomial p : C C (independently of d). ∈ → It is remarkable that the completely bounded version of this inequality is also valid. More precisely, we consider now matrix-valued polynomials P : C Cm,n, i.e., for z C, P (z) = → ∈ (p (z)) is a matrix, with each entry p (.) a polynomial C C. -
Numerical Range of Square Matrices a Study in Spectral Theory
Numerical Range of Square Matrices A Study in Spectral Theory Department of Mathematics, Linköping University Erik Jonsson LiTH-MAT-EX–2019/03–SE Credits: 16 hp Level: G2 Supervisor: Göran Bergqvist, Department of Mathematics, Linköping University Examiner: Milagros Izquierdo, Department of Mathematics, Linköping University Linköping: June 2019 Abstract In this thesis, we discuss important results for the numerical range of general square matrices. Especially, we examine analytically the numerical range of complex-valued 2 × 2 matrices. Also, we investigate and discuss the Gershgorin region of general square matrices. Lastly, we examine numerically the numerical range and Gershgorin regions for different types of square matrices, both contain the spectrum of the matrix, and compare these regions, using the calculation software Maple. Keywords: numerical range, square matrix, spectrum, Gershgorin regions URL for electronic version: urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157661 Erik Jonsson, 2019. iii Sammanfattning I denna uppsats diskuterar vi viktiga resultat för numerical range av gene- rella kvadratiska matriser. Speciellt undersöker vi analytiskt numerical range av komplexvärda 2 × 2 matriser. Vi utreder och diskuterar också Gershgorin områden för generella kvadratiska matriser. Slutligen undersöker vi numeriskt numerical range och Gershgorin områden för olika typer av matriser, där båda innehåller matrisens spektrum, och jämför dessa områden genom att använda beräkningsprogrammet Maple. Nyckelord: numerical range, kvadratisk matris, spektrum, Gershgorin områden URL för elektronisk version: urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157661 Erik Jonsson, 2019. v Acknowledgements I’d like to thank my supervisor Göran Bergqvist, who has shown his great interest for linear algebra and inspired me for writing this thesis. -
Five Isoentangled Mutually Unbiased Bases and Mixed States Designs Praca Licencjacka Na Kierunku fizyka Do´Swiadczalna I Teoretyczna
UNIWERSYTET JAGIELLONSKIW´ KRAKOWIE WYDZIAŁ FIZYKI,ASTRONOMII I INFORMATYKI STOSOWANEJ Jakub Czartowski Nr albumu: 1125510 Five isoentangled mutually unbiased bases and mixed states designs Praca licencjacka Na kierunku fizyka do´swiadczalna i teoretyczna Praca wykonana pod kierunkiem Prof. Karola Zyczkowskiego˙ Instytut Fizyki Kraków, 24 maja 2018 JAGIELLONIAN UNIVERSITYIN CRACOW FACULTY OF PHYSICS,ASTRONOMY AND APPLIED COMPUTER SCIENCE Jakub Czartowski Student number: 1125510 Five isoentangled mutually unbiased bases and mixed states designs Bachelor thesis on a programme Fizyka do´swiadczalnai teoretyczna Prepared under supervision of Prof. Karol Zyczkowski˙ Institute of Physics Kraków, 24 May 2018 Contents Abstract 5 Acknowledgements5 1 Introduction6 2 Space of pure quantum states7 3 Space of mixed quantum states7 4 Complex projective t-designs9 4.1 Symmetric Informationally Complete (SIC) POVM . 10 4.2 Mutually Unbiased Bases (MUB) . 10 5 Mixed states designs 10 5.1 Mean traces on the space of mixed states . 12 6 Notable examples 12 6.1 t = 1 - Positive Operator Valued Measure . 12 6.2 N=2, t=2, M=8 - Isoentangled SIC POVM for d 4................. 13 Æ 6.3 Short interlude - Numerical search for isoentangled MUB . 13 6.4 N=2, t=2, M=20 - Isoentangled MUB . 15 6.5 N=2, t=2, M=10 - The standard set of 5 MUB in H4 ................ 16 6.6 N=2, t=3, M=10 - Hoggar example number 24 . 17 6.7 N=2, t=3, M=20(40) - Witting polytope . 18 6.8 Interlude - Summary for N 2 ............................ 18 Æ 6.9 N=3, t=2, M=90 - MUB . 19 6.9.1 Standard representation . -
Numerical Ranges and Applications in Quantum Information
Numerical Ranges and Applications in Quantum Information by Ningping Cao A Thesis presented to The University of Guelph In partial fulfilment of requirements for the degree of Doctor of Philosophy in Mathematics & Statistics Guelph, Ontario, Canada © Ningping Cao, August, 2021 ABSTRACT NUMERICAL RANGES AND APPLICATIONS IN QUANTUM INFORMATION Ningping Cao Advisor: University of Guelph, 2021 Dr. Bei Zeng Dr. David Kribs The numerical range (NR) of a matrix is a concept that first arose in the early 1900’s as part of efforts to build a rigorous mathematical framework for quantum mechanics andother challenges at the time. Quantum information science (QIS) is a new field having risen to prominence over the past two decades, combining quantum physics and information science. In this thesis, we connect NR and its extensions with QIS in several topics, and apply the knowledge to solve related QIS problems. We utilize the insight offered by NRs and apply them to quantum state inference and Hamiltonian reconstruction. We propose a new general deep learning method for quantum state inference in chapter 3, and employ it to two scenarios – maximum entropy estimation of unknown states and ground state reconstruction. The method manifests high fidelity, exceptional efficiency, and noise tolerance on both numerical and experimental data. A new optimization algorithm is presented in chapter 4 for recovering Hamiltonians. It takes in partial measurements from any eigenstates of an unknown Hamiltonian H, then provides an estimation of H. Our algorithm almost perfectly deduces generic and local generic Hamiltonians. Inspired by hybrid classical-quantum error correction (Hybrid QEC), the higher rank (k : p)-matricial range is defined and studied in chapter 5. -
On Invariance of the Numerical Range and Some Classes of Operators In
ON INVARIANCE OF THE NUMERICAL RANGE AND SOME CLASSES OF OPERATORS IN HILBERT SPACES By Arthur Wanyonyi Wafula A thesis submitted in fulfillment of the requirements for the award of the Degree of Doctor of Philosophy in Pure Mathematics School of Mathematics,University of Nairobi 15 April 2013 G^ o a op h University of NAIROBI Library 0430140 4 0.1 DECLARATION This thesis is my orginal work and has not been presented for a degree in any other University S ignat ure.....D ate . .....A* / ° 5 / 7'tTL. m h I Arthur Wanyonyi Wanambisi Wafula This thesis has been submitted for examination with our approval as University super visors; Signature Date 2- Signature P rof. J. M. Khalagai Prof. G.P.Pokhariyal 1 0.2 DEDICATION This work is dedicated to my family ; namely, my wife Anne Atieno and my sons Davies Magudha and Mishael Makali. n 0.3 ACKNOWLEDGEMENT My humble acknowledgement go to the Almighty God Jehovah who endows us withdhe gift of the Human brain that enables us to be creative and imaginative. I would also like to express my sincere gratitude to my Supervisor Prof.J.M.Khalagai for tirelessly guiding me in my research.I also wish to thank Prof.G.P.Pokhariyal for never ceasing to put me on my toes. I sincerely wish to thank the Director of the School of Mathematics DrJ .Were for his invaluable support. Furthermore,! am indebted to my colleagues Mrs.E.Muriuki, Dr.Mile, Dr.I.Kipchichir, Mr R.Ogik and Dr.N.'Owuor who have been a source of inspiration. -
Arxiv:1809.09986V2 [Physics.Optics] 30 Apr 2019
Using all transverse degrees of freedom in quantum communications based on a generic mode sorter YIYU ZHOU,1,9,* MOHAMMAD MIRHOSSEINI,1,2,9 STONE OLIVER,1,3 JIAPENG ZHAO,1 SEYED MOHAMMAD HASHEMI RAFSANJANI,1,4 MARTIN P. J. LAVERY,5 ALAN E.WILLNER,6 AND ROBERT W. BOYD1,7,8 1The Institute of Optics, University of Rochester, Rochester, New York 14627, USA 2Thomas J. Watson, Sr., Laboratory of Applied Physics, California Institute of Technology, Pasadena, California 91125, USA 3Department of Physics, Miami University, Oxford, Ohio 45056, USA 4Department of Physics, University of Miami, Coral Gables, Florida 33146, USA 5School of Engineering, University of Glasgow, Glasgow, Scotland G12 8LT, UK 6Department of Electrical Engineering, University of Southern California, Los Angeles, California 90089, USA 7Department of Physics, University of Ottawa, Ottawa, Ontario K1N 6N5, Canada [email protected] 9These authors contributed equally *[email protected] Abstract: The dimension of the state space for information encoding offered by the transverse structure of light is usually limited by the finite size of apertures. The widely used orbital angular momentum (OAM) number of Laguerre-Gaussian (LG) modes in free-space communications cannot achieve the theoretical maximum transmission capacity unless the radial degree of freedom is multiplexed into the protocol. While the methodology to sort the radial quantum number has been developed, the application of radial modes in quantum communications requires an additional ability to efficiently measure the superposition of LG modes in the mutually unbiased basis. Here we develop and implement a generic mode sorter that is capable of sorting the superposition of LG modes through the use of a mode converter. -
Uncertainty Relations and Joint Numerical Ranges
Konrad Szyma´nski Uncertainty relations and joint numerical ranges MSc thesis under the supervision of Prof. Karol Zyczkowski˙ arXiv:1707.03464v1 [quant-ph] 11 Jul 2017 MARIANSMOLUCHOWSKIINSTITUTEOFPHYSICS, UNIWERSYTETJAGIELLO NSKI´ KRAKÓW,JULY 2 0 1 7 Contents Quantum states 1 Joint Numerical Range 5 Phase transitions 11 Uncertainty relations 19 Conclusions and open questions 23 Bibliography 25 iii To MS, AS, unknow, DS, JJK, AM, FF, KZ,˙ SM, P, N. Introduction Noncommutativity lies at the heart of quantum theory and provides a rich set of mathematical and physical questions. In this work, I address this topic through the concept of Joint Numerical Range (JNR) — the set of simultaneously attainable expectation values of multiple quantum observables, which in general do not commute. The thesis is divided into several chapters: Quantum states Geometry of the set of quantum states of size d is closely related to JNR, which provides a nice tool to analyze the former set. The problem of determining the intricate structure of this set is known to quickly become hard as the dimensionality grows (approximately as d2). The difficulty stems from the nonlinear constraints put on the set of parameters. In this chapter I briefly introduce the formalism of density matrices, which will prove useful in the later sections. Joint Numerical Range Joint Numerical Range of a collection of k operators, or JNR for short, is an object capturing the notion of simultaneous measurement of averages — expectation values of multiple observables. This is precisely the set of values which are simultaneously attainable for fixed observables (F1, F2,..., Fk) over a given quantum state r 2 Md: if we had a function taking quantum state and returning the tuple of average values: E(r) = (hF1ir , hF1ir ,..., hFkir),(1) Joint Numerical Range L(F1,..., Fk) is precisely E[Md]. -
Mutually Unbiased Bases Are Complex Projective 2-Designs
Mutually Unbiased Bases are Complex Projective 2-Designs Andreas Klappenecker Martin R¨otteler Department of Computer Science NEC Labs America, Inc. Texas A&M University 4 Independence Way College Station, TX, 77843–3112, USA Princeton, NJ 08540 U.S.A. Email: [email protected] Email: [email protected] Abstract— Mutually unbiased bases (MUBs) are a primitive that we want to determine the density matrix ρ of an ensemble used in quantum information processing to capture the principle of quantum systems using as few non-degenerate observables of complementarity. While constructions of maximal sets of d+1 as possible. We assume that it is possible to make a com- such bases are known for system of prime power dimension d, itis plete measurement of each observable O = x b b , unknown whether this bound can be achieved for any non-prime b∈B b | ih | power dimension. In this paper we demonstrate that maximal sets meaning that the statistics tr(ρ b b )= b ρ Pb is known for | ih | h | | i of MUBs come with a rich combinatorial structure by showing each eigenvalue xb in the spectral decomposition. Ivanovi´c that they actually are the same objects as the complex projective showed in [12] that complete measurements of at least d +1 2-designs with angle set {0, 1/d}. We also give a new and observables are needed to reconstruct the density matrix. He simple proof that symmetric informationally complete POVMs are complex projective 2-designs with angle set {1/(d+1)}. also showed that this lower bound is attained when d+1 non- degenerate pairwise complementary observables are used.