Quantum Phase Space Representations and Their Negativities Ninnat Dangniam
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Quantum Metrology with Atoms and Light
UNIVERSITY OF WARSAW FACULTY OF PHYSICS DOCTORAL THESIS Quantum Metrology with Atoms and Light Author: Supervisor: Karol GIETKA dr hab. Jan CHWEDENCZUK´ Auxiliary Supervisor: dr Tomasz WASAK December 6, 2018 iii Streszczenie Kwantowa Metrologia z Atomami i Swiatłem´ Głównym celem tej dysertacji jest zaproponowanie metod tworzenia kwantowych stanów materii oraz ´swiatłai sprawdzenie mozliwo´sciwykorzystania˙ tych stanów do precyzyjnych pomiarów wielko´scifizycznych. Pierwsza cz˛e´s´ctego celu realizo- wana jest przy pomocy formalizmu kwantowo-mechanicznego w kontek´scieteorii ultra-zimnych gazów atomowych oraz kwantowej elektrodynamiki we wn˛ece,nato- miast druga cz˛e´s´crealizowana jest za pomoc ˛ametod teorii estymacji z informacj ˛aFi- shera w roli głównej. Poł ˛aczeniepowyzszych˙ metod jest znane ogólnie pod poj˛eciem kwantowej metrologii. W ostatnich latach wiele teoretycznego i eksperymentalnego wysiłku zostało włozonego˙ w dziedzin˛ekwantowej metrologii, poniewaz˙ dzi˛ekiniej mozliwy˙ b˛edzienie tylko rozwój technik pomiarowych daj ˛acychlepsz ˛aprecyzj˛eniz˙ te same pomiary wykonane w ramach klasycznej teorii, ale takze˙ moze˙ by´cuzyta˙ do badania fundamentalnych aspektów mechaniki kwantowej takich jak spl ˛atanie. Pierwsz ˛ametod ˛a,któr ˛arozwazamy˙ to mechanizm tworzenia tworzenia stanów spinowo-´sci´sni˛etychznany jako one-axis twisting, który moze˙ by´czastosowany na przykład w kondensacie Bosego-Einsteina uwi˛ezionegow podwójnej studni poten- cjału tworz ˛acefektywnie kondensat dwu składnikowy. Pokazujemy, ze˙ stany spinowo- ´sci´sni˛etestanowi ˛atylko mał ˛arodzin˛estanów spl ˛atanych,które mog ˛aby´cwytwo- rzone przez Hamiltonian one-axis twisting. Ta duza˙ rodzina stanów typu twisted za- wiera nawet najbardziej spl ˛atanystan znany jako kot Schroödingera. Pokazujemy równiez˙ jak wykorzysta´cte kwantowe zasoby w pomiarze nieznanego parametru, wykorzystuj ˛acnieidealne detektory atomowe oraz w przypadku kiedy oddziaływa- nie pomi˛edzyatomami nie jest dokładnie znane. -
Simulating Physics with Computers
International Journal of Theoretical Physics, VoL 21, Nos. 6/7, 1982 Simulating Physics with Computers Richard P. Feynman Department of Physics, California Institute of Technology, Pasadena, California 91107 Received May 7, 1981 1. INTRODUCTION On the program it says this is a keynote speech--and I don't know what a keynote speech is. I do not intend in any way to suggest what should be in this meeting as a keynote of the subjects or anything like that. I have my own things to say and to talk about and there's no implication that anybody needs to talk about the same thing or anything like it. So what I want to talk about is what Mike Dertouzos suggested that nobody would talk about. I want to talk about the problem of simulating physics with computers and I mean that in a specific way which I am going to explain. The reason for doing this is something that I learned about from Ed Fredkin, and my entire interest in the subject has been inspired by him. It has to do with learning something about the possibilities of computers, and also something about possibilities in physics. If we suppose that we know all the physical laws perfectly, of course we don't have to pay any attention to computers. It's interesting anyway to entertain oneself with the idea that we've got something to learn about physical laws; and if I take a relaxed view here (after all I'm here and not at home) I'll admit that we don't understand everything. -
Degree of Quantumness in Quantum Synchronization
Degree of Quantumness in Quantum Synchronization H. Eneriz,1, 2 D. Z. Rossatto,3, 4, ∗ F. A. Cardenas-L´ opez,´ 5 E. Solano,1, 6, 5 and M. Sanz1,† 1Department of Physical Chemistry, University of the Basque Country UPV/EHU, Apartado 644, E-48080 Bilbao, Spain 2LP2N, Laboratoire Photonique, Numerique´ et Nanosciences, Universite´ Bordeaux-IOGS-CNRS:UMR 5298, F-33400 Talence, France 3Departamento de F´ısica, Universidade Federal de Sao˜ Carlos, 13565-905 Sao˜ Carlos, SP, Brazil 4Universidade Estadual Paulista (Unesp), Campus Experimental de Itapeva, 18409-010 Itapeva, Sao˜ Paulo, Brazil 5International Center of Quantum Artificial Intelligence for Science and Technology (QuArtist) and Physics Department, Shanghai University, 200444 Shanghai, China 6IKERBASQUE, Basque Foundation for Science, Mar´ıa D´ıaz de Haro 3, E-48013 Bilbao, Spain We introduce the concept of degree of quantumness in quantum synchronization, a measure of the quantum nature of synchronization in quantum systems. Following techniques from quantum information, we propose the number of non-commuting observables that synchronize as a measure of quantumness. This figure of merit is compatible with already existing synchronization measurements, and it captures different physical properties. We illustrate it in a quantum system consisting of two weakly interacting cavity-qubit systems, which are cou- pled via the exchange of bosonic excitations between the cavities. Moreover, we study the synchronization of the expectation values of the Pauli operators and we propose a feasible superconducting circuit setup. Finally, we discuss the degree of quantumness in the synchronization between two quantum van der Pol oscillators. I. INTRODUCTION Synchronization is originally defined as a process in which two or more self-sustained oscillators evolve to swing in unison. -
Von Neumann Equivalence and Properly Proximal Groups 3
VON NEUMANN EQUIVALENCE AND PROPERLY PROXIMAL GROUPS ISHAN ISHAN, JESSE PETERSON, AND LAUREN RUTH Abstract. We introduce a new equivalence relation on groups, which we call von Neu- ∗ mann equivalence, that is coarser than both measure equivalence and W -equivalence. We introduce a general procedure for inducing actions in this setting and use this to show that many analytic properties, such as amenability, property (T), and the Haagerup property, are preserved under von Neumann equivalence. We also show that proper proximality, which was defined recently in [BIP18] using dynamics, is also preserved under von Neu- mann equivalence. In particular, proper proximality is preserved under both measure ∗ equivalence and W -equivalence, and from this we obtain examples of non-inner amenable groups that are not properly proximal. 1. Introduction Two countable groups Γ and Λ are measure equivalent if they have commuting measure- preserving actions on a σ-finite measure space (Ω,m) such that the actions of Γ and Λ individually admit a finite-measure fundamental domain. This notion was introduced by Gromov in [Gro93, 0.5.E] as an analogy to the topological notion of being quasi-isometric for finitely generated groups. The basic example of measure equivalent groups is when Γ and Λ are lattices in the same locally compact group G. In this case, Γ and Λ act on the left and right of G respectively, and these actions preserve the Haar measure on G. For certain classes of groups, measure equivalence can be quite a course equivalence relation. For instance, the class of countable amenable groups splits into two measure equivalence classes, those that are finite, and those that are countably infinite [Dye59, Dye63, OW80]. -
Why So Negative to Negative Probabilities?
Espen Gaarder Haug THE COLLECTOR: Why so Negative to Negative Probabilities? What is the probability of the expected being neither expected nor unexpected? 1The History of Negative paper: “The Physical Interpretation of Quantum Feynman discusses mainly the Bayes formu- Probability Mechanics’’ where he introduced the concept of la for conditional probabilities negative energies and negative probabilities: In finance negative probabilities are considered P(i) P(i α)P(α), nonsense, or at best an indication of model- “Negative energies and probabilities should = | α breakdown. Doing some searches in the finance not be considered as nonsense. They are well- ! where P(α) 1. The idea is that as long as P(i) literature the comments I found on negative defined concepts mathematically, like a sum of α = is positive then it is not a problem if some of the probabilities were all negative,1 see for example negative money...”, Paul Dirac " probabilities P(i α) or P(α) are negative or larger Brennan and Schwartz (1978), Hull and White | The idea of negative probabilities has later got than unity. This approach works well when one (1990), Derman, Kani, and Chriss (1996), Chriss increased attention in physics and particular in cannot measure all of the conditional probabili- (1997), Rubinstein (1998), Jorgenson and Tarabay quantum mechanics. Another famous physicist, ties P(i α) or the unconditional probabilities P(α) (2002), Hull (2002). Why is the finance society so | Richard Feynman (1987) (also with a Noble prize in an experiment. That is, the variables α can negative to negative probabilities? The most like- in Physics), argued that no one objects to using relate to hidden states. -
Multi-Time Correlations in the Positive-P, Q, and Doubled Phase-Space Representations
Multi-time correlations in the positive-P, Q, and doubled phase-space representations Piotr Deuar Institute of Physics, Polish Academy of Sciences, Aleja Lotników 32/46, 02-668 Warsaw, Poland A number of physically intuitive results for the in quantum information science (see [58] and [129] for calculation of multi-time correlations in phase- recent reviews) and for the simulation of large-scale space representations of quantum mechanics are quantum dynamics. Negativity of Wigner, P, and other obtained. They relate time-dependent stochastic phase-space quasi-distributions is a major criterion for samples to multi-time observables, and rely on quantumness and closely related to contextuality and the presence of derivative-free operator identi- nonlocality in quantum mechanics [58, 65]. The inabil- ties. In particular, expressions for time-ordered ity to interpret the Glauber-Sudarshan P [67, 132] and normal-ordered observables in the positive-P Wigner distributions in terms of a classical probabil- distribution are derived which replace Heisen- ity density is the fundamental benchmark for quan- berg operators with the bare time-dependent tum light [88, 128]. Quasi-probability representations stochastic variables, confirming extension of ear- arise naturally when looking for hidden variable de- lier such results for the Glauber-Sudarshan P. scriptions and an ontological model of quantum theory Analogous expressions are found for the anti- [16, 58, 93, 127]. Wigner and P-distribution negativ- normal-ordered case of the doubled phase-space ity are considered a resource for quantum computation Q representation, along with conversion rules [8, 58] and closely related to magic state distillation among doubled phase-space s-ordered represen- and quantum advantage [138]; the Glauber-Sudarshan tations. -
Density Operator: the Coherent State and Squeezed State Masatsugu Sei Suzuki Department of Physics, SUNY at Binghamton (Date: January 21, 2017)
Phase space representation of density operator: the coherent state and squeezed state Masatsugu Sei Suzuki Department of Physics, SUNY at Binghamton (Date: January 21, 2017) Here we discuss the phase space representation of the density operator, including Wigner function for the coherent state and squeezed state in quantum optics. The density operator of a given system includes classical as well as quantum mechanical properties. __________________________________________________________________ 1. P function representation for the Density operator We start with a density operator defined by ˆ d 2P() where P() is called the Glauber-Sudarshan P function (representation) and is an coherent state. We note that Tr[ˆ] Tr d 2P() d 2P()Tr[ ] d 2P() d 2P() 1 or Tr[ˆ] Tr d 2P() 1 d 2P() d 2 1 2 d 2P() d 2 1 2 2 d 2P() d 2 exp( * * ) 1 2 2 d 2P()exp( ) d 2 exp( 2Re[ * ])) 1 2 d 2P() exp( )exp( 2 ) d 2P() 1 where 1 d 2 1ˆ (formula) 2 exp{ 2 2 2Re[ * ]} Note that and are complex numbers, x iy , a ib Since Re[ *] Re[(a ib)(x iy)] ax by we get the integral as d 2 exp( 2 2Re[ *])) dxexp(x2 2ax)dx dyexp(y2 2by) exp(a2 b2 ) exp( 2 ) We also note that the density operator can be rewritten as 1 ˆ d 2 d 2 ˆ 2 1 d 2 d 2 ˆ 2 using the formula 1 d 2 1ˆ ((Example)) The average number of photons can be written as nˆ aˆ aˆ Tr[ˆaˆ aˆ] Tr[ d 2P() aˆ aˆ] d 2P() aˆ aˆ d 2P() 2 So P() is normalized as a classical probability distribution. -
Negative Probability in the Framework of Combined Probability
Negative probability in the framework of combined probability Mark Burgin University of California, Los Angeles 405 Hilgard Ave. Los Angeles, CA 90095 Abstract Negative probability has found diverse applications in theoretical physics. Thus, construction of sound and rigorous mathematical foundations for negative probability is important for physics. There are different axiomatizations of conventional probability. So, it is natural that negative probability also has different axiomatic frameworks. In the previous publications (Burgin, 2009; 2010), negative probability was mathematically formalized and rigorously interpreted in the context of extended probability. In this work, axiomatic system that synthesizes conventional probability and negative probability is constructed in the form of combined probability. Both theoretical concepts – extended probability and combined probability – stretch conventional probability to negative values in a mathematically rigorous way. Here we obtain various properties of combined probability. In particular, relations between combined probability, extended probability and conventional probability are explicated. It is demonstrated (Theorems 3.1, 3.3 and 3.4) that extended probability and conventional probability are special cases of combined probability. 1 1. Introduction All students are taught that probability takes values only in the interval [0,1]. All conventional interpretations of probability support this assumption, while all popular formal descriptions, e.g., axioms for probability, such as Kolmogorov’s -
“Spectral Picture” of a Bounded Operator on a Banach Space
On spectral pictures Robin Harte Abstract The \spectral picture" of a bounded operator on a Banach space consists of its essential spectrum together with a mapping from its holes to the group of integers, obtained by taking the Fredholm index. In this note we abstract this from the Calkin algebra to a general Banach algebra, replacing the integers with the quotient of the group of invertibles by its connected component of the identity. 1 By a spectrum K we shall understand, in the first instance, a nonempty compact subset K C of the complex plane: this works because every compact set is the spectrum of something. If K C is a⊆ spectrum then so is its topological boundary @K and so is its connected hull ⊆ 0:1 ηK = K H : H Hole(K) ; [ [f 2 g where [4],[8] we write Hole(K) for the (possibly empty) set of bounded components of the complement of K in C: thus C ηK is the unique unbounded component of C K. n n 1. Definition By a \spectral picture" we shall understand an ordered pair (K; ν) in which K is a spectrum and ν is a mapping from Hole(K) to the integers Z. If K C is a spectrum and if f : U C is a continuous mapping whose domain U C includes K then it is clear⊆ that f(K) is again a spectrum,! where of course ⊆ 1:1 f(K) = f(λ): λ K : f 2 g We shall pay particular attention to functions 1:2 f Holo(ηK); 2 for which U ηK is open in C and on which f is holomorphic. -
Class Notes, Functional Analysis 7212
Class notes, Functional Analysis 7212 Ovidiu Costin Contents 1 Banach Algebras 2 1.1 The exponential map.....................................5 1.2 The index group of B = C(X) ...............................6 1.2.1 p1(X) .........................................7 1.3 Multiplicative functionals..................................7 1.3.1 Multiplicative functionals on C(X) .........................8 1.4 Spectrum of an element relative to a Banach algebra.................. 10 1.5 Examples............................................ 19 1.5.1 Trigonometric polynomials............................. 19 1.6 The Shilov boundary theorem................................ 21 1.7 Further examples....................................... 21 1.7.1 The convolution algebra `1(Z) ........................... 21 1.7.2 The return of Real Analysis: the case of L¥ ................... 23 2 Bounded operators on Hilbert spaces 24 2.1 Adjoints............................................ 24 2.2 Example: a space of “diagonal” operators......................... 30 2.3 The shift operator on `2(Z) ................................. 32 2.3.1 Example: the shift operators on H = `2(N) ................... 38 3 W∗-algebras and measurable functional calculus 41 3.1 The strong and weak topologies of operators....................... 42 4 Spectral theorems 46 4.1 Integration of normal operators............................... 51 4.2 Spectral projections...................................... 51 5 Bounded and unbounded operators 54 5.1 Operations.......................................... -
DISCUSSION SURVEY RHAPSODY in FRACTIONAL J. Tenreiro
DISCUSSION SURVEY RHAPSODY IN FRACTIONAL J. Tenreiro Machado 1,Ant´onio M. Lopes 2, Fernando B. Duarte 3, Manuel D. Ortigueira 4,RaulT.Rato5 Abstract This paper studies several topics related with the concept of “frac- tional” that are not directly related with Fractional Calculus, but can help the reader in pursuit new research directions. We introduce the concept of non-integer positional number systems, fractional sums, fractional powers of a square matrix, tolerant computing and FracSets, negative probabil- ities, fractional delay discrete-time linear systems, and fractional Fourier transform. MSC 2010 : Primary 15A24, 65F30, 60A05, 39A10; Secondary 11B39, 11A63, 03B48, 39A70, 47B39, Key Words and Phrases: positional number systems, fractional sums, matrix power, matrix root, tolerant computing, negative probability, frac- tional delay, difference equations, fractional Fourier transform 1. Introduction Fractional Calculus has been receiving a considerable attention during the last years. In fact, the concepts of “fractional” embedded in the integro- differential operator allow a remarkable and fruitful generalization of the operators of classical Calculus. The success of this “new” tool in applied sciences somehow outshines other possible mathematical generalizations involving the concept of “fractional”. The leitmotif of this paper is to highlight several topics that may be useful for researchers, not only in the scope of each area, but also as possible avenues for future progress. © 2014 Diogenes Co., Sofia pp. 1188–1214 , DOI: 10.2478/s13540-014-0206-0 Unauthenticated Download Date | 10/21/15 5:04 PM RHAPSODY IN FRACTIONAL 1189 Bearing these ideas in mind, the manuscript is organized as follows. Section 2 focuses the concept of non-integer positional number systems. -
The KO-Valued Spectral Flow for Skew-Adjoint Fredholm Operators
THE KO–VALUED SPECTRAL FLOW FOR SKEW-ADJOINT FREDHOLM OPERATORS CHRIS BOURNE, ALAN L. CAREY, MATTHIAS LESCH, AND ADAM RENNIE This article is dedicated to Krzysztof Wojciechowski, our friend and colleague whom we have missed for over a decade. His interest and contributions to index theory and geometry have been a constant source of inspiration. Abstract. In this article we give a comprehensive treatment of a ‘Clifford mod- ule flow’ along paths in the skew-adjoint Fredholm operators on a real Hilbert space that takes values in KO∗(R) via the Clifford index of Atiyah–Bott–Shapiro. We develop its properties for both bounded and unbounded skew-adjoint oper- ators including an axiomatic characterization. Our constructions and approach are motivated by the principle that spectral flow = Fredholm index. That is, we show how the KO–valued spectral flow relates to a KO–valued index by proving a Robbin–Salamon type result. The Kasparov product is also used to establish a spectral flow = Fredholm index result at the level of bivariant K- theory. We explain how our results incorporate previous applications of Z/2Z– valued spectral flow in the study of topological phases of matter. Contents Introduction 2 1. Motivation from physical theory 4 2. Clifford algebras and the ABS construction 6 3. Some useful homotopies and the Cayley transform 15 4. Fredholm pairs and the Clifford index 18 5. The KO–valued spectral flow 25 6. Extension to unbounded operators 30 7. Uniqueness of the KO–valued spectral flow 35 arXiv:1907.04981v2 [math.KT] 6 Apr 2020 Date: 2020-03-31.