Quantum Information Theory Solutions 8

Total Page:16

File Type:pdf, Size:1020Kb

Quantum Information Theory Solutions 8 HS 2015 Quantum Information Theory Prof. R. Renner Solutions 8. Dr. J.M. Renes Exercise 1. Trace distance and distinguishability Suppose you know the density operators of two quantum states ρ, σ 2 S(H). Then you are given one of the states at random { it may either be ρ or σ with equal probability. The challenge is to perform a single projective measurement of an observable O on your state and then guess which state that is. (a) What is your best strategy? In which basis do you think you should perform the measurement? Can you express that measurement using a single projector P ? (b) Show that the probability of guessing correctly can be written as 1 P (ρ vs: σ) = (1 + tr [P (ρ − σ)]); (1) guess 2 where P is the appropriate projector from (a). Just like in the classical case, that can be shown to be equivalent to 1 P (ρ vs: σ) = [1 + δ(ρ, σ)]; (2) guess 2 where δ(ρ, σ) := 1 kρ − σk is the trace distance between the two quantum states and kSk := trjSj ≡ p 2 1 1 tr[ SyS] the 1-norm for matrices. (You do not have to show this here. Of course you can if you want.) (c) Given a trace-preserving quantum operation E (i.e. a CPTP map) and two states ρ and σ, show that δ (E(σ); E(ρ)) ≤ δ(σ; ρ): (3) (d) What does (3) imply about the task of distinguishing quantum states? Solution. (a) We are looking for a measurement O that maximises our probability of guessing correctly. For each state (say e.g. ρ) the probabilities of obtaining any of the possible outcomes P fygy of the observable O = y yPy that represents the measurement define a classical probability distribution PrO,ρ(y) = tr(Pyρ), Py being the mutually orthogonal projectors onto the eigenspaces of O. Let G = fy : PO,ρ(y) ≥ PO;σ(y)g be the set of outcomes that are more likely to occur when we measure O on ρ than on σ. Naturally, if we obtain y after measuring our unknown state and obtain we should say it was ρ if y 2 G and vice-versa. The probability of guessing 1 correctly is then Pguess = P (ρ) · P (say \ρ"jρ) + P (σ) · P (say \σ"jσ) 1 X 1 X = · P (y) + · P (y) 2 O;ρ 2 O;σ y2G y2G¯ 1 X 1 X = tr(Pyρ) + tr(Pyσ) 2 2 (S.1) y2G y2G¯ 1 h X i 1 h X i = tr P ρ + tr P σ 2 y 2 y y2G y2G¯ 1 = tr (P ρ + P ¯ σ) ; 2 G G P P 1 where PG := y2G Py and PG¯ := y2G¯ Py are projectors too, with PG + PG¯ = . If we explore a little more, we obtain 2Pguess = tr(PG ρ + PG¯ σ) = tr(PG ρ + [1 − PG] σ) (S.2) = tr(PG [ρ − σ]) + tr(1σ) (∗) = tr(PG [ρ − σ]) + 1; where (∗) comes from the fact that σ is a density matrix and therefore tr(σ) = 1. Notice that we have only defined G depending on O so far. Hence, to maximise the guessing probability we need to find the optimal fPygy that maximise tr(PG [ρ − σ]). First we express G in another way using linearity of the trace, G = fy : PO;ρ(y) ≥ PO,σ(y)g = fy : tr(Pyρ) ≥ tr(Pyσ)g (S.3) = fy : tr(Py(ρ − σ)) ≥ 0g : P Now we will try a clever choice of G. Let fygy be the eigenbasis of ρ − σ = y λyjyihyj. Notice that ρ − σ is not a density matrix { in particular it has trace zero. If we choose fPygy to be the projectors on that basis, Py = jyihyj, we obtain G = fy : tr(Py(ρ − σ)) ≥ 0g n X 0 0 o = y : tr jyihyj λy0 jy ihy j ≥ 0 y0 (S.4) = fy : tr (jyihyjλy) ≥ 0g = fy : λy ≥ 0g ; i.e. G is the set of outcomes of O corresponding to projectors on states jyihyj that corre- spond to non negative eigenvalues of ρ − σ. In this case, tr(PG [ρ − σ]) is the sum of all positive eigenvalues of ρ − σ. This result is promising, but now we have to prove that is is indeed optimal, i.e. that no other choice of projector P could give better results. We can write ρ − σ as R − S, where P P R = y2G λyjyihyj and S = y2G¯ −λyjyihyj. Both operators R and S are positive and diagonal. Furthermore they are mutually orthogonal because fjyig is an orthogonal basis. 2 We have that X tr(PG [ρ − σ]) = λy = tr(R): (S.5) y2G For any other projector P 0, however, tr(P 0 [ρ − σ]) = tr(P 0 [R − S]) = tr(P 0 R) − tr(P 0 S) (S.6) ≤ tr(R) − tr(P 0 S) (∗∗) ≤ tr(R); (∗∗∗) where (∗∗) stands because projectors can only decrease the trace and (∗∗∗) because P 0S is positive by assumption. P We have proved that a measurement represented by O = y yjyihyj, where fjyigy is the eigenbasis of ρ − σ optimises the probability of guessing correctly which state we were given. This solution corresponds to the following strategy. We measure our state (ρ or σ) in the eigenbasis of ρ − σ. If we obtain a state that corresponds to a positive eigenvalue of ρ − σ (i.e. y 2 G) then it is more likely that we have measured ρ. If we get a negative eigenvalue of ρ − σ (i.e. y 2 G¯) we should say the state was σ. In the particular case where the two density operators share the same eigenbasis, this cor- responds to following the classical strategy for distinguishing two probability distributions after measuring the state in their common eigenbasis. (b) We already proved that in the previous exercise, (S.2) and the following. (c) In (a) we have shown constructively how to write the difference between two quantum states, ρ−σ, as R −S, where R and S are two positive operators with orthogonal support. We now use this fact to write jρ − σj = R + S and obtain 1 δ(σ; ρ) = tr(jρ − σj) 2 1 = (tr(R) + tr(S)) 2 = tr(R) (∗) = tr [E(R)] (S.7) ≥ max ftr [P E(R)] − tr [P E(S)]g (∗∗) P = max tr [P (E(R − S))] (∗∗∗) P = δ (E(σ); E(ρ)) ; where (∗) stands because tr(R) − tr(S) = tr(R − S) = tr(ρ − σ) = tr(ρ) − tr(σ) = 1 − 1 = 0; and the inequality (∗∗) follows from tr(P E(R)) ≤ tr(E(R)) and tr(P E(S)) ≥ 0 for any pro- jector P , since projectors are positive operators and can only decrease the trace. Finally, linearity of TPMs allows us to perform step (∗∗∗). We also used the characterization of the trace distance in terms of a maximization over projectors, see (2), in the very last step. 3 (d) This result implies that there is no experimental setup that allows us to distinguish non- orthogonal states with certainty (because whatever this setup is, its action on the quantum states can be described by some CPTPM). If there was such a setup, we could copy (clone) the states perfectly, hence the contradiction. In fact, the trace distance (as we have seen in the lecture) gives us an upper limit on our ability to distinguish them. If there were quantum operations that increase the distance between two states, we could design measurement devices such that this upper limit no longer holds. Exercise 2. Fidelity and Uhlmann's Theorem Given two states ρA and σA on HA with fixed basis fjiiAgi and a reference Hilbert space HB with fixed basis fjiiBgi, which is a copy of HA, Uhlmann's theorem claims that the fidelity can be written as F (ρA; σA) = max jhΨjΦij ; (4) jΨiAB ;jΦiAB where the maximum is over all purifications jΨiAB of ρA and jΦiAB of σA on HA ⊗HB. Let us introduce the state j iAB as p X j i = ( ρ ⊗ UB) jΩi; jΩi = jiiA ⊗ jiiB; (5) i where UB is any unitary on HB. We have seen in Exercise Sheet 6 that j iAB is a purification of ρA and that any purification of ρA can be written in this form. (a) Use the construction presented in the proof of Uhlmann's theorem to calculate the fidelity between 0 1 0 σA = 2=2 and ρA = pj0ih0jA + (1 − p)j1ih1jA in the 2-dimensional Hilbert space. Hint: Convince yourself that the vector jΩi has the property that 1 ⊗ S jΩi = ST ⊗ 1jΩi for all linear operators S on HA. (b) Give an expression for the fidelity between any pure state and the completely mixed state 1n=n in the n-dimensional Hilbert space. Hint: You may want to use a different characterization of the fidelity than the one by Uhlmann for this exercise. Solution. (a) Because of the special form in which we can write purifications, it is apparent that it is sufficient to maximise over one set of purifications only. We set p 0 jΨi = ( ρ ⊗ VB)jΩi ; 1 1 (S.8) jΦi = p (1A ⊗ 1B)jΩi = p (j00i + j11i) 2 2 for some unitary V on B (which can also be seen as a unitary on A because A and B are isomorphic). 4 It follows that 1 p 0 jhΨjΦij = p hΩj ρ ⊗ VBjΩi 2 1 hp 0 i = p tr ρ ⊗ VBjΩihΩj 2 1 hp 0 T i (∗) = p tr ρ · V ⊗ 1BjΩihΩj 2 A (S.9) 1 h i = p tr pρ0 · V T 2 A 1 h i ≤ p tr pρ0 2 1 p = p p + p1 − p : 2 For (∗) we used the fact that the state jΩi is such that applying V to its B part is equivalent to applying V T to its A part.
Recommended publications
  • Front Matter of the Book Contains a Detailed Table of Contents, Which We Encourage You to Browse
    Cambridge University Press 978-1-107-00217-3 - Quantum Computation and Quantum Information: 10th Anniversary Edition Michael A. Nielsen & Isaac L. Chuang Frontmatter More information Quantum Computation and Quantum Information 10th Anniversary Edition One of the most cited books in physics of all time, Quantum Computation and Quantum Information remains the best textbook in this exciting field of science. This 10th Anniversary Edition includes a new Introduction and Afterword from the authors setting the work in context. This comprehensive textbook describes such remarkable effects as fast quantum algorithms, quantum teleportation, quantum cryptography, and quantum error-correction. Quantum mechanics and computer science are introduced, before moving on to describe what a quantum computer is, how it can be used to solve problems faster than “classical” computers, and its real-world implementation. It concludes with an in-depth treatment of quantum information. Containing a wealth of figures and exercises, this well-known textbook is ideal for courses on the subject, and will interest beginning graduate students and researchers in physics, computer science, mathematics, and electrical engineering. MICHAEL NIELSEN was educated at the University of Queensland, and as a Fulbright Scholar at the University of New Mexico. He worked at Los Alamos National Laboratory, as the Richard Chace Tolman Fellow at Caltech, was Foundation Professor of Quantum Information Science and a Federation Fellow at the University of Queensland, and a Senior Faculty Member at the Perimeter Institute for Theoretical Physics. He left Perimeter Institute to write a book about open science and now lives in Toronto. ISAAC CHUANG is a Professor at the Massachusetts Institute of Technology, jointly appointed in Electrical Engineering & Computer Science, and in Physics.
    [Show full text]
  • Quantifying Bell Nonlocality with the Trace Distance
    PHYSICAL REVIEW A 97, 022111 (2018) Quantifying Bell nonlocality with the trace distance S. G. A. Brito,1 B. Amaral,1,2 and R. Chaves1 1International Institute of Physics, Federal University of Rio Grande do Norte, 59078-970, P. O. Box 1613, Natal, Brazil 2Departamento de Física e Matemática, CAP - Universidade Federal de São João del-Rei, 36.420-000, Ouro Branco, MG, Brazil (Received 15 September 2017; published 21 February 2018) Measurements performed on distant parts of an entangled quantum state can generate correlations incompatible with classical theories respecting the assumption of local causality. This is the phenomenon known as quantum nonlocality that, apart from its fundamental role, can also be put to practical use in applications such as cryptography and distributed computing. Clearly, developing ways of quantifying nonlocality is an important primitive in this scenario. Here, we propose to quantify the nonlocality of a given probability distribution via its trace distance to the set of classical correlations. We show that this measure is a monotone under the free operations of a resource theory and, furthermore, that it can be computed efficiently with a linear program. We put our framework to use in a variety of relevant Bell scenarios also comparing the trace distance to other standard measures in the literature. DOI: 10.1103/PhysRevA.97.022111 I. INTRODUCTION it can stand before becoming local. Interestingly, these two measures can be inversely related as demonstrated by the With the establishment of quantum information science, the fact that in the Clauser-Horne-Shimony-Holt (CHSH) scenario often-called counterintuitive features of quantum mechanics [28], the resistance against detection inefficiency increases as such as entanglement [1] and nonlocality [2] have been we decrease the entanglement of the state [13] (also reducing raised to the status of a physical resource that can be used the violation the of CHSH inequality).
    [Show full text]
  • Arxiv:2102.13630V1 [Quant-Ph] 26 Feb 2021
    Randomness Amplification under Simulated PT -symmetric Evolution Leela Ganesh Chandra Lakkaraju1, Shiladitya Mal1,2, Aditi Sen(De)1 1 Harish-Chandra Research Institute and HBNI, Chhatnag Road, Jhunsi, Allahabad - 211019, India 2 Department of Physics and Center for Quantum Frontiers of Research and Technology (QFort), National Cheng Kung University, Tainan 701, Taiwan PT -symmetric quantum theory does not require the Hermiticity property of observables and hence allows a rich class of dynamics. Based on PT -symmetric quantum theory, various counter- intuitive phenomena like faster evolution than that allowed in standard quantum mechanics, single- shot discrimination of nonorthogonal states has been reported invoking Gedanken experiments. By exploiting open-system experimental set-up as well as by computing the probability of distinguish- ing two states, we prove here that if a source produces an entangled state shared between two parties, Alice and Bob, situated in a far-apart location, the information about the operations performed by Alice whose subsystem evolves according to PT -symmetric Hamiltonian can be gathered by Bob, if the density matrix is in complex Hilbert space. Employing quantum simulation of PT -symmetric evolution, feasible with currently available technologies, we also propose a scheme of sharing quan- tum random bit-string between two parties when one of them has access to a source generating pseudo-random numbers. We find evidences that the task becomes more efficient with the increase of dimension. I. INTRODUCTION shown to be violated in the Gedanken experimental set-up [27]. Violation of these fundamentally signif- Among the postulates of quantum mechanics, the re- icant no-go theorems have deep consequences in the quirement of the Hermiticity property for the observ- verification of the viability of quantum theory.
    [Show full text]
  • Application of Quantum Pinsker Inequality to Quantum Communications
    ISSN 2186-6570 Application of quantum Pinsker inequality to quantum communications Osamu Hirota Research Center for Quantum Communication, Quantum ICT Research Institute, Tamagawa University 6-1-1 Tamagawa-gakuen, Machida, Tokyo 194-8610, Japan Tamagawa University Quantum ICT Research Institute Bulletin, Vol.9, No.1, 1-7, 2019 ©Tamagawa University Quantum ICT Research Institute 2019 All rights reserved. No part of this publication may be reproduced in any form or by any means electrically, mechanically, by photocopying or otherwise, without prior permission of the copy right owner. Tamagawa University Quantum ICT Research Institute Bulletin 1 Vol.9 No.1 : 1―7(2019) Application of quantum Pinsker inequality to quantum communications Osamu Hirota Research Center for Quantum Communication, Quantum ICT Research Institute, Tamagawa University 6-1-1 Tamagawa-gakuen, Machida, Tokyo 194-8610, Japan E-mail: [email protected] Abstract—Back in the 1960s, based on Wiener’s thought, clearly defines very common signals processed in human Shikao Ikehara (first student of N.Wiener) encouraged the social activities and it is applied to the communication progress of Hisaharu Umegaki’s research from a pure system with the operational meanings for the relevant mathematical aspect in order to further develop the research on mathematical methods of quantum information at Tokyo information processing. Quantum information theory as Institute of Technology. Then, in the 1970s, based on the mathematics can be modeled on it. However, unlike Shan- results accomplished by Umegaki Group, Ikehara instructed non information, quantum entropy lacks versatility regard the author to develop and spread quantum information for operational meaning on information transmission.
    [Show full text]
  • Non-Markovian Dynamics in Open Quantum Systems
    Non-Markovian dynamics in open quantum systems Heinz-Peter Breuer Physikalisches Institut, Universit¨atFreiburg, Hermann-Herder-Straße 3, D-79104 Freiburg, Germany Elsi-Mari Laine QCD Labs, COMP Centre of Excellence, Department of Applied Physics, Aalto University, P.O. Box 13500, FI-00076 AALTO, Finland Jyrki Piilo Turku Centre for Quantum Physics, Department of Physics and Astronomy, University of Turku, FI-20014 Turun yliopisto, Finland Bassano Vacchini Dipartimento di Fisica, Universit`adegli Studi di Milano, Via Celoria 16, I-20133 Milan, Italy INFN, Sezione di Milano, Via Celoria 16, I-20133 Milan, Italy (Dated: May 7, 2015) The dynamical behavior of open quantum systems plays a key role in many applica- tions of quantum mechanics, examples ranging from fundamental problems, such as the environment-induced decay of quantum coherence and relaxation in many-body sys- tems, to applications in condensed matter theory, quantum transport, quantum chem- istry and quantum information. In close analogy to a classical Markovian stochastic process, the interaction of an open quantum system with a noisy environment is often modeled phenomenologically by means of a dynamical semigroup with a corresponding time-independent generator in Lindblad form, which describes a memoryless dynamics of the open system typically leading to an irreversible loss of characteristic quantum fea- tures. However, in many applications open systems exhibit pronounced memory effects and a revival of genuine quantum properties such as quantum coherence, correlations and entanglement. Here, recent theoretical results on the rich non-Markovian quantum arXiv:1505.01385v1 [quant-ph] 6 May 2015 dynamics of open systems are discussed, paying particular attention to the rigorous mathematical definition, to the physical interpretation and classification, as well as to the quantification of quantum memory effects.
    [Show full text]
  • The Monge Metric on the Sphere and Geometry of Quantum States
    INSTITUTE OF PHYSICS PUBLISHING JOURNAL OF PHYSICS A: MATHEMATICAL AND GENERAL J. Phys. A: Math. Gen. 34 (2001) 6689–6722 PII: S0305-4470(01)18080-7 The Monge metric on the sphere and geometry of quantum states Karol Zyczkowski˙ 1,2 and Wojciech Słomczynski´ 3 1 Centrum Fizyki Teoretycznej, Polska Akademia Nauk, Al. Lotnikow´ 32, 02-668 Warszawa, Poland 2 Instytut Fizyki im. Mariana Smoluchowskiego, Uniwersytet Jagiellonski,´ ul. Reymonta 4, 30-059 Krakow,´ Poland 3 Instytut Matematyki, Uniwersytet Jagiellonski,´ ul. Reymonta 4, 30-059 Krakow,´ Poland E-mail: [email protected] and [email protected] Received 18 October 2000, in final form 14 June 2001 Published 17 August 2001 Online at stacks.iop.org/JPhysA/34/6689 Abstract Topological and geometrical properties of the set of mixed quantum states in the N-dimensional Hilbert space are analysed. Assuming that the corresponding classical dynamics takes place on the sphere we use the vector SU(2) coherent states and the generalized Husimi distributions to define the Monge distance between two arbitrary density matrices. The Monge metric has a simple semiclassical interpretation and induces a non-trivial geometry. Among all pure states the distance from the maximally mixed state ρ∗, proportional to the identity matrix, admits the largest value for the coherent states, while the delocalized ‘chaotic’ states are close to ρ∗. This contrasts the geometry induced by the standard (trace, Hilbert–Schmidt or Bures) metrics, for which the distance from ρ∗ is the same for all pure states. We discuss possible physical consequences including unitary time evolution and the process of decoherence.
    [Show full text]
  • Generalized Trace-Distance Measure Connecting Quantum and Classical Non-Markovianity
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by AIR Universita degli studi di Milano PHYSICAL REVIEW A 92, 042108 (2015) Generalized trace-distance measure connecting quantum and classical non-Markovianity Steffen Wißmann and Heinz-Peter Breuer Physikalisches Institut, Universitat¨ Freiburg, Hermann-Herder-Straße 3, D-79104 Freiburg, Germany Bassano Vacchini Dipartimento di Fisica, Universita` degli Studi di Milano, Via Celoria 16, I-20133 Milan, Italy and INFN, Sezione di Milano, Via Celoria 16, I-20133 Milan, Italy (Received 31 July 2015; published 12 October 2015) We establish a direct connection of quantum Markovianity of an open system to its classical counterpart by generalizing the criterion based on the information flow. Here the flow is characterized by the time evolution of Helstrom matrices, given by the weighted difference of statistical operators, under the action of the quantum dynamical map. It turns out that the introduced criterion is equivalent to P divisibility of a quantum process, namely, divisibility in terms of positive maps, which provides a direct connection to classical Markovian stochastic processes. Moreover, it is shown that mathematical representations similar to those found for the original trace-distance-based measure hold true for the associated generalized measure for quantum non-Markovianity. That is, we prove orthogonality of optimal states showing a maximal information backflow and establish a local and universal representation of the measure. We illustrate some properties of the generalized criterion by means of examples. DOI: 10.1103/PhysRevA.92.042108 PACS number(s): 03.65.Yz, 03.65.Ta, 03.67.−a, 02.50.−r I.
    [Show full text]
  • Arxiv:1004.4110V1 [Quant-Ph]
    Computing the distance between quantum channels: Usefulness of the Fano representation 1,2, 3, Giuliano Benenti ∗ and Giuliano Strini † 1CNISM, CNR-INFM, and Center for Nonlinear and Complex Systems, Universit`adegli Studi dell’Insubria, via Valleggio 11, 22100 Como, Italy 2Istituto Nazionale di Fisica Nucleare, Sezione di Milano, via Celoria 16, 20133 Milano, Italy 3Dipartimento di Fisica, Universit`adegli Studi di Milano, via Celoria 16, 20133 Milano, Italy (Dated: April 26, 2010) The diamond norm measures the distance between two quantum channels. From an operational vewpoint, this norm measures how well we can distinguish between two channels by applying them to input states of arbitrarily large dimensions. In this paper, we show that the diamond norm can be conveniently and in a physically transparent way computed by means of a Monte-Carlo algorithm based on the Fano representation of quantum states and quantum operations. The effectiveness of this algorithm is illustrated for several single-qubit quantum channels. PACS numbers: 03.65.Yz, 03.67.-a I. INTRODUCTION cated semidefinite programming or convex optimization. On the other hand, analytical solutions are limited to special classes of channels [7, 8]. In this paper, we pro- Quantum information processes in a noisy environment pose a simple and easily parallelizable Monte-Carlo al- quantum chan- are conveniently described in terms of gorithm based on the Fano representation of quantum nels , that is, linear, trace preserving, completely positive states and quantum operations. We show that our al- maps on the set of quantum states [1, 2]. The problem gorithm provides reliable results for the case, most sig- of discriminating quantum channels is of great interest.
    [Show full text]
  • Command of Quantum Systems Via Rigidity of CHSH Games
    A classical leash for a quantum system: Command of quantum systems via rigidity of CHSH games Ben W. Reichardt Falk Unger Umesh Vazirani University of Southern California Knight Capital Group UC Berkeley Abstract Can a classical system command a general adversarial quantum system to realize arbitrary quantum dynamics? If so, then we could realize the dream of device-independent quantum cryptography: using untrusted quantum devices to establish a shared random key, with security based on the correctness of quantum mechanics. It would also allow for testing whether a claimed quantum computer is truly quantum. Here we report a technique by which a classical system can certify the joint, entangled state of a bipartite quantum system, as well as command the application of specific operators on each subsystem. This is accomplished by showing a strong converse to Tsirelson's optimality result for the Clauser-Horne-Shimony-Holt (CHSH) game: the only way to win many games is if the bipartite state is close to the tensor product of EPR states, and the measurements are the optimal CHSH measurements on successive qubits. This leads directly to a scheme for device-independent quantum key distribution. Control over the state and operators can also be leveraged to create more elaborate protocols for realizing general quantum circuits, and to establish that QMIP = MIP∗. arXiv:1209.0448v1 [quant-ph] 3 Sep 2012 1 Contents 1 Introduction 3 2 Proof sketches 8 2.1 Rigidity of the CHSH game . .8 2.2 Tensor-product structure for repeated CHSH games . .8 2.2.1 Construction of the ideal strategy S^ .......................9 2.2.2 Ideal strategy S^ is close to S ...........................9 2.3 Verified quantum dynamics .
    [Show full text]
  • Computing the Distance Between Quantum Channels: Usefulness of the Fano Representation Giuliano Benenti, Giuliano Strini
    Computing the distance between quantum channels: usefulness of the Fano representation Giuliano Benenti, Giuliano Strini To cite this version: Giuliano Benenti, Giuliano Strini. Computing the distance between quantum channels: usefulness of the Fano representation. Journal of Physics B: Atomic, Molecular and Optical Physics, IOP Publish- ing, 2010, 43 (21), pp.215508. 10.1088/0953-4075/43/21/215508. hal-00569863 HAL Id: hal-00569863 https://hal.archives-ouvertes.fr/hal-00569863 Submitted on 25 Feb 2011 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Confidential: not for distribution. Submitted to IOP Publishing for peer review 24 June 2010 Computing the distance between quantum channels: Usefulness of the Fano representation Giuliano Benenti1,2,∗ and Giuliano Strini3, † 1CNISM, CNR-INFM, and Center for Nonlinear and Complex Systems, Universit`adegliStudidell’Insubria,viaValleggio11,22100Como,Italy 2Istituto Nazionale di Fisica Nucleare, Sezione di Milano, via Celoria 16, 20133 Milano, Italy 3Dipartimento di Fisica, Universit`adegliStudidiMilano,viaCeloria16,20133Milano,Italy (Dated: June 24, 2010) The diamond norm measures the distance between two quantum channels. From an operational vewpoint, this norm measures how well we can distinguish between two channels by applying them to input states of arbitrarily large dimensions.
    [Show full text]
  • Lecture Notes Live Here
    Physics 239/139: Quantum information is physical Spring 2018 Lecturer: McGreevy These lecture notes live here. Please email corrections to mcgreevy at physics dot ucsd dot edu. THESE NOTES ARE SUPERSEDED BY THE NOTES HERE Schr¨odinger's cat and Maxwell's demon, together at last. Last updated: 2021/05/09, 15:30:29 1 Contents 0.1 Introductory remarks............................4 0.2 Conventions.................................7 0.3 Lightning quantum mechanics reminder..................8 1 Hilbert space is a myth 11 1.1 Mean field theory is product states.................... 14 1.2 The local density matrix is our friend................... 16 1.3 Complexity and the convenient illusion of Hilbert space......... 19 2 Quantifying information 26 2.1 Relative entropy............................... 33 2.2 Data compression.............................. 37 2.3 Noisy channels............................... 43 2.4 Error-correcting codes........................... 49 3 Information is physical 53 3.1 Cost of erasure............................... 53 3.2 Second Laws of Thermodynamics..................... 59 4 Quantifying quantum information and quantum ignorance 64 4.1 von Neumann entropy........................... 64 4.2 Quantum relative entropy......................... 67 4.3 Purification, part 1............................. 69 4.4 Schumacher compression.......................... 71 4.5 Quantum channels............................. 73 4.6 Channel duality............................... 79 4.7 Purification, part 2............................. 84 4.8 Deep
    [Show full text]
  • Quantum Hypothesis Testing in Many-Body Systems Abstract Contents
    SciPost Phys. Core 4, 019 (2021) Quantum hypothesis testing in many-body systems 1? 1† 2,4‡ 2,3‘ Jan de Boer , Victor Godet , Jani Kastikainen and Esko Keski-Vakkuri ◦ 1 Institute for Theoretical Physics, University of Amsterdam, PO Box 94485, 1090 GL Amsterdam, The Netherlands 2 Department of Physics, P.O.Box 64, FIN-00014 University of Helsinki, Finland 3 Helsinki Institute of Physics, P.O.Box 64, FIN-00014 University of Helsinki, Finland 4 APC, AstroParticule et Cosmologie, Université de Paris, CNRS/IN2P3, CEA/IRFU, Observatoire de Paris, 10, rue Alice Domon et Léonie Duquet, 75205 Paris Cedex 13, France ? [email protected],† [email protected], ‡ jani.kastikainen@helsinki.fi, esko.keski-vakkuri@helsinki.fi ◦ Abstract One of the key tasks in physics is to perform measurements in order to determine the state of a system. Often, measurements are aimed at determining the values of physical parameters, but one can also ask simpler questions, such as “is the system in state A or state B?”. In quantum mechanics, the latter type of measurements can be studied and optimized using the framework of quantum hypothesis testing. In many cases one can explicitly find the optimal measurement in the limit where one has simultaneous access to a large number n of identical copies of the system, and estimate the expected error as n becomes large. Interestingly, error estimates turn out to involve various quantum information theoretic quantities such as relative entropy, thereby giving these quantities operational meaning. In this paper we consider the application of quantum hypothesis testing to quantum many-body systems and quantum field theory.
    [Show full text]