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Pilot Quantum Error Correction for Global
Pilot Quantum Error Correction for Global- Scale Quantum Communications Laszlo Gyongyosi*1,2, Member, IEEE, Sandor Imre1, Member, IEEE 1Quantum Technologies Laboratory, Department of Telecommunications Budapest University of Technology and Economics 2 Magyar tudosok krt, H-1111, Budapest, Hungary 2Information Systems Research Group, Mathematics and Natural Sciences Hungarian Academy of Sciences H-1518, Budapest, Hungary *[email protected] Real global-scale quantum communications and quantum key distribution systems cannot be implemented by the current fiber and free-space links. These links have high attenuation, low polarization-preserving capability or extreme sensitivity to the environment. A potential solution to the problem is the space-earth quantum channels. These channels have no absorption since the signal states are propagated in empty space, however a small fraction of these channels is in the atmosphere, which causes slight depolarizing effect. Furthermore, the relative motion of the ground station and the satellite causes a rotation in the polarization of the quantum states. In the current approaches to compensate for these types of polarization errors, high computational costs and extra physical apparatuses are required. Here we introduce a novel approach which breaks with the traditional views of currently developed quantum-error correction schemes. The proposed solution can be applied to fix the polarization errors which are critical in space-earth quantum communication systems. The channel coding scheme provides capacity-achieving communication over slightly depolarizing space-earth channels. I. Introduction Quantum error-correction schemes use different techniques to correct the various possible errors which occur in a quantum channel. In the first decade of the 21st century, many revolutionary properties of quantum channels were discovered [12-16], [19-22] however the efficient error- correction in quantum systems is still a challenge. -
A Mini-Introduction to Information Theory
A Mini-Introduction To Information Theory Edward Witten School of Natural Sciences, Institute for Advanced Study Einstein Drive, Princeton, NJ 08540 USA Abstract This article consists of a very short introduction to classical and quantum information theory. Basic properties of the classical Shannon entropy and the quantum von Neumann entropy are described, along with related concepts such as classical and quantum relative entropy, conditional entropy, and mutual information. A few more detailed topics are considered in the quantum case. arXiv:1805.11965v5 [hep-th] 4 Oct 2019 Contents 1 Introduction 2 2 Classical Information Theory 2 2.1 ShannonEntropy ................................... .... 2 2.2 ConditionalEntropy ................................. .... 4 2.3 RelativeEntropy .................................... ... 6 2.4 Monotonicity of Relative Entropy . ...... 7 3 Quantum Information Theory: Basic Ingredients 10 3.1 DensityMatrices .................................... ... 10 3.2 QuantumEntropy................................... .... 14 3.3 Concavity ......................................... .. 16 3.4 Conditional and Relative Quantum Entropy . ....... 17 3.5 Monotonicity of Relative Entropy . ...... 20 3.6 GeneralizedMeasurements . ...... 22 3.7 QuantumChannels ................................... ... 24 3.8 Thermodynamics And Quantum Channels . ...... 26 4 More On Quantum Information Theory 27 4.1 Quantum Teleportation and Conditional Entropy . ......... 28 4.2 Quantum Relative Entropy And Hypothesis Testing . ......... 32 4.3 Encoding -
Quantum Information Theory
Lecture Notes Quantum Information Theory Renato Renner with contributions by Matthias Christandl February 6, 2013 Contents 1 Introduction 5 2 Probability Theory 6 2.1 What is probability? . .6 2.2 Definition of probability spaces and random variables . .7 2.2.1 Probability space . .7 2.2.2 Random variables . .7 2.2.3 Notation for events . .8 2.2.4 Conditioning on events . .8 2.3 Probability theory with discrete random variables . .9 2.3.1 Discrete random variables . .9 2.3.2 Marginals and conditional distributions . .9 2.3.3 Special distributions . 10 2.3.4 Independence and Markov chains . 10 2.3.5 Functions of random variables, expectation values, and Jensen's in- equality . 10 2.3.6 Trace distance . 11 2.3.7 I.i.d. distributions and the law of large numbers . 12 2.3.8 Channels . 13 3 Information Theory 15 3.1 Quantifying information . 15 3.1.1 Approaches to define information and entropy . 15 3.1.2 Entropy of events . 16 3.1.3 Entropy of random variables . 17 3.1.4 Conditional entropy . 18 3.1.5 Mutual information . 19 3.1.6 Smooth min- and max- entropies . 20 3.1.7 Shannon entropy as a special case of min- and max-entropy . 20 3.2 An example application: channel coding . 21 3.2.1 Definition of the problem . 21 3.2.2 The general channel coding theorem . 21 3.2.3 Channel coding for i.i.d. channels . 24 3.2.4 The converse . 24 2 4 Quantum States and Operations 26 4.1 Preliminaries . -
Models of Quantum Complexity Growth
Models of quantum complexity growth Fernando G.S.L. Brand~ao,a;b;c;d Wissam Chemissany,b Nicholas Hunter-Jones,* e;b Richard Kueng,* b;c John Preskillb;c;d aAmazon Web Services, AWS Center for Quantum Computing, Pasadena, CA bInstitute for Quantum Information and Matter, California Institute of Technology, Pasadena, CA 91125 cDepartment of Computing and Mathematical Sciences, California Institute of Technology, Pasadena, CA 91125 dWalter Burke Institute for Theoretical Physics, California Institute of Technology, Pasadena, CA 91125 ePerimeter Institute for Theoretical Physics, Waterloo, ON N2L 2Y5 *Corresponding authors: [email protected] and [email protected] Abstract: The concept of quantum complexity has far-reaching implications spanning theoretical computer science, quantum many-body physics, and high energy physics. The quantum complexity of a unitary transformation or quantum state is defined as the size of the shortest quantum computation that executes the unitary or prepares the state. It is reasonable to expect that the complexity of a quantum state governed by a chaotic many- body Hamiltonian grows linearly with time for a time that is exponential in the system size; however, because it is hard to rule out a short-cut that improves the efficiency of a computation, it is notoriously difficult to derive lower bounds on quantum complexity for particular unitaries or states without making additional assumptions. To go further, one may study more generic models of complexity growth. We provide a rigorous connection between complexity growth and unitary k-designs, ensembles which capture the randomness of the unitary group. This connection allows us to leverage existing results about design growth to draw conclusions about the growth of complexity. -
Booklet of Abstracts
Booklet of abstracts Thomas Vidick California Institute of Technology Tsirelson's problem and MIP*=RE Boris Tsirelson in 1993 implicitly posed "Tsirelson's Problem", a question about the possible equivalence between two different ways of modeling locality, and hence entanglement, in quantum mechanics. Tsirelson's Problem gained prominence through work of Fritz, Navascues et al., and Ozawa a decade ago that establishes its equivalence to the famous "Connes' Embedding Problem" in the theory of von Neumann algebras. Recently we gave a negative answer to Tsirelson's Problem and Connes' Embedding Problem by proving a seemingly stronger result in quantum complexity theory. This result is summarized in the equation MIP* = RE between two complexity classes. In the talk I will present and motivate Tsirelson's problem, and outline its connection to Connes' Embedding Problem. I will then explain the connection to quantum complexity theory and show how ideas developed in the past two decades in the study of classical and quantum interactive proof systems led to the characterization (which I will explain) MIP* = RE and the negative resolution of Tsirelson's Problem. Based on joint work with Ji, Natarajan, Wright and Yuen available at arXiv:2001.04383. Joonho Lee, Dominic Berry, Craig Gidney, William Huggins, Jarrod McClean, Nathan Wiebe and Ryan Babbush Columbia University | Macquarie University | Google | Google Research | Google | University of Washington | Google Efficient quantum computation of chemistry through tensor hypercontraction We show how to achieve the highest efficiency yet for simulations with arbitrary basis sets by using a representation of the Coulomb operator known as tensor hypercontraction (THC). We use THC to express the Coulomb operator in a non-orthogonal basis, which we are able to block encode by separately rotating each term with angles that are obtained via QROM. -
Lecture 6: Quantum Error Correction and Quantum Capacity
Lecture 6: Quantum error correction and quantum capacity Mark M. Wilde∗ The quantum capacity theorem is one of the most important theorems in quantum Shannon theory. It is a fundamentally \quantum" theorem in that it demonstrates that a fundamentally quantum information quantity, the coherent information, is an achievable rate for quantum com- munication over a quantum channel. The fact that the coherent information does not have a strong analog in classical Shannon theory truly separates the quantum and classical theories of information. The no-cloning theorem provides the intuition behind quantum error correction. The goal of any quantum communication protocol is for Alice to establish quantum correlations with the receiver Bob. We know well now that every quantum channel has an isometric extension, so that we can think of another receiver, the environment Eve, who is at a second output port of a larger unitary evolution. Were Eve able to learn anything about the quantum information that Alice is attempting to transmit to Bob, then Bob could not be retrieving this information|otherwise, they would violate the no-cloning theorem. Thus, Alice should figure out some subspace of the channel input where she can place her quantum information such that only Bob has access to it, while Eve does not. That the dimensionality of this subspace is exponential in the coherent information is perhaps then unsurprising in light of the above no-cloning reasoning. The coherent information is an entropy difference H(B) − H(E)|a measure of the amount of quantum correlations that Alice can establish with Bob less the amount that Eve can gain. -
Quantum Channels and Operations
1 Quantum information theory (20110401) Lecturer: Jens Eisert Chapter 4: Quantum channels 2 Contents 4 Quantum channels 5 4.1 General quantum state transformations . .5 4.2 Complete positivity . .5 4.2.1 Choi-Jamiolkowski isomorphism . .7 4.2.2 Kraus’ theorem and Stinespring dilations . .9 4.2.3 Disturbance versus information gain . 10 4.3 Local operations and classical communication . 11 4.3.1 One-local operations . 11 4.3.2 General local quantum operations . 12 3 4 CONTENTS Chapter 4 Quantum channels 4.1 General quantum state transformations What is the most general transformation of a quantum state that one can perform? One might wonder what this question is supposed to mean: We already know of uni- tary Schrodinger¨ evolution generated by some Hamiltonian H. We also know of the measurement postulate that alters a state upon measurement. So what is the question supposed to mean? In fact, this change in mindset we have already encountered above, when we thought of unitary operations. Of course, one can interpret this a-posteriori as being generated by some Hamiltonian, but this is not so much the point. The em- phasis here is on what can be done, what unitary state transformations are possible. It is the purpose of this chapter to bring this mindset to a completion, and to ask what kind of state transformations are generally possible in quantum mechanics. There is an abstract, mathematically minded approach to the question, introducing notions of complete positivity. Contrasting this, one can think of putting ingredients of unitary evolution and measurement together. -
Quantum Mechanics Quick Reference
Quantum Mechanics Quick Reference Ivan Damg˚ard This note presents a few basic concepts and notation from quantum mechanics in very condensed form. It is not the intention that you should read all of it immediately. The text is meant as a source from where you can quickly recontruct the meaning of some of the basic concepts, without having to trace through too much material. 1 The Postulates Quantum mechanics is a mathematical model of the physical world, which is built on a small number of postulates, each of which makes a particular claim on how the model reflects physical reality. All the rest of the theory can be derived from these postulates, but the postulates themselves cannot be proved in the mathematical sense. One has to make experiments and see whether the predictions of the theory are confirmed. To understand what the postulates say about computation, it is useful to think of how we describe classical computation. One way to do this is to say that a computer can be in one of a number of possible states, represented by all internal registers etc. We then do a number of operations, each of which takes the computer from one state to another, where the sequence of operations is determined by the input. And finally we get a result by observing which state we have arrived in. In this context, the postulates say that a classical computer is a special case of some- thing more general, namely a quantum computer. More concretely they say how one describes the states a quantum computer can be in, which operations we can do, and finally how we can read out the result. -
Quantum Computing : a Gentle Introduction / Eleanor Rieffel and Wolfgang Polak
QUANTUM COMPUTING A Gentle Introduction Eleanor Rieffel and Wolfgang Polak The MIT Press Cambridge, Massachusetts London, England ©2011 Massachusetts Institute of Technology All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher. For information about special quantity discounts, please email [email protected] This book was set in Syntax and Times Roman by Westchester Book Group. Printed and bound in the United States of America. Library of Congress Cataloging-in-Publication Data Rieffel, Eleanor, 1965– Quantum computing : a gentle introduction / Eleanor Rieffel and Wolfgang Polak. p. cm.—(Scientific and engineering computation) Includes bibliographical references and index. ISBN 978-0-262-01506-6 (hardcover : alk. paper) 1. Quantum computers. 2. Quantum theory. I. Polak, Wolfgang, 1950– II. Title. QA76.889.R54 2011 004.1—dc22 2010022682 10987654321 Contents Preface xi 1 Introduction 1 I QUANTUM BUILDING BLOCKS 7 2 Single-Qubit Quantum Systems 9 2.1 The Quantum Mechanics of Photon Polarization 9 2.1.1 A Simple Experiment 10 2.1.2 A Quantum Explanation 11 2.2 Single Quantum Bits 13 2.3 Single-Qubit Measurement 16 2.4 A Quantum Key Distribution Protocol 18 2.5 The State Space of a Single-Qubit System 21 2.5.1 Relative Phases versus Global Phases 21 2.5.2 Geometric Views of the State Space of a Single Qubit 23 2.5.3 Comments on General Quantum State Spaces -
Quantum Information Science
Quantum Information Science Seth Lloyd Professor of Quantum-Mechanical Engineering Director, WM Keck Center for Extreme Quantum Information Theory (xQIT) Massachusetts Institute of Technology Article Outline: Glossary I. Definition of the Subject and Its Importance II. Introduction III. Quantum Mechanics IV. Quantum Computation V. Noise and Errors VI. Quantum Communication VII. Implications and Conclusions 1 Glossary Algorithm: A systematic procedure for solving a problem, frequently implemented as a computer program. Bit: The fundamental unit of information, representing the distinction between two possi- ble states, conventionally called 0 and 1. The word ‘bit’ is also used to refer to a physical system that registers a bit of information. Boolean Algebra: The mathematics of manipulating bits using simple operations such as AND, OR, NOT, and COPY. Communication Channel: A physical system that allows information to be transmitted from one place to another. Computer: A device for processing information. A digital computer uses Boolean algebra (q.v.) to processes information in the form of bits. Cryptography: The science and technique of encoding information in a secret form. The process of encoding is called encryption, and a system for encoding and decoding is called a cipher. A key is a piece of information used for encoding or decoding. Public-key cryptography operates using a public key by which information is encrypted, and a separate private key by which the encrypted message is decoded. Decoherence: A peculiarly quantum form of noise that has no classical analog. Decoherence destroys quantum superpositions and is the most important and ubiquitous form of noise in quantum computers and quantum communication channels. -
Practical Quantum Cryptography and Possible Attacks
Practical Quantum cryptography and possible attacks Alex Ling, Ilja Gerhardt, Antia Lamas-Linares, Christian Kurtsiefer 24C3 , Berlin supported by DSTA and Ministry of Education Overview Cryptography and keys What can quantum crypto do? BB84 type prepare & send implementations Quantum channels Entanglement and quantum cryptography Timing channel attack A side channel-tolerant protocol: E91 revisited Secure Communication symmetric encryption Alice key key Bob 4Kt$jtp 5L9dEe0 I want I want a coffee a coffee insecure channel ─ One time pad / Vernam Cipher: secure for one key bit per bit ─ 3DES, AES & friends: high throughput asymmetric encryption Bob key 2 n, p, q Alice key 1 4Kt$jtp 5L9dEe0 I want I want a coffee a coffee insecure channel RSA, ellipt. curves: simple, secure if you can not get key 1 from key 2 What is wrong with RSA? Bob key 2 n, p, q Alice key 1 4Kt$jtp 5L9dEe0 I want I want a coffee a coffee insecure channel ....if you can not get key 1 from key 2 take dedicated hardware find a clever algorithm ...and you get take a quantum computer the key! take some time..... Classical Key Distribution trusted courier Alice key key Bob tamper-safe devices key key Alice Bob Quantum Key Distribution 1 “ trusted ” courier.... Alice key key Bob information is carried by physical objects: hole in paper, ink, magnetic domain, electrical charge, dye spot, radio wave, light pulse,... classical physics: copying is possible (----> insecure) Photons carry information polarization for 0 and 1: vertical horizontal use polarizing beam splitter to recover 0 or 1: Quantum mechanics... -
Partial Traces and Entropy Inequalities Rajendra Bhatia Indian Statistical Institute, 7, S.J.S
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Linear Algebra and its Applications 370 (2003) 125–132 www.elsevier.com/locate/laa Partial traces and entropy inequalities Rajendra Bhatia Indian Statistical Institute, 7, S.J.S. Sansanwal Marg, New Delhi 110016, India Received 8 May 2002; accepted 5 January 2003 Submitted by C. Davis Abstract The partial trace operation and the strong subadditivity property of entropy in quantum mechanics are explained in linear algebra terms. © 2003 Elsevier Inc. All rights reserved. Keywords: Quantum entropy; Density matrix; Partial trace; Operator convexity; Matrix inequalities 1. Introduction There is an interesting matrix operation called partial trace in the physics lit- erature. The first goal of this short expository paper is to connect this operation to others more familiar to linear algebraists. The second goal is to use this connection to present a slightly simpler proof of an important theorem of Lieb and Ruskai [11,12] called the strong subadditivity (SSA) of quantum-mechanical entropy. Closely re- lated to SSA, and a crucial ingredient in one of its proofs, is another theorem of Lieb [9] called Lieb’s concavity theorem (solution of the Wigner–Yanase–Dyson conjecture). An interesting alternate formulation and proof of this latter theorem appeared in a paper of Ando [1] well-known to linear algebraists. Discussion of the Lieb–Ruskai theorem, however, seems to have remained confined to the physics literature. We believe there is much of interest here for others as well, particularly for those interested in linear algebra.