Dual Quantum Zeno Superdense Coding Fakhar Zaman , Youngmin Jeong & Hyundong Shin
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Superdense Teleportation and Quantum Key Distribution for Space Applications
2015 IEEE International Conference on Space Optical Systems and Applications (ICSOS) Superdense Teleportation and Quantum Key Distribution for Space Applications Trent Graham, Christopher Zeitler, Joseph Chapman, Hamid Javadi Paul Kwiat Submillimeter Wave Advanced Technology Group Department of Physics Jet Propulsion Laboratory, University of Illinois at Urbana-Champaign California Institute of Technology Urbana, USA Pasadena, USA tgraham2@illinois. edu Herbert Bernstein Institute for Science & Interdisciplinary Studies & School of Natural Sciences Hampshire College Amherst, USA Abstract—The transfer of quantum information over long for long periods of time (as would be needed for large scale distances has long been a goal of quantum information science quantum repeaters) and cannot be amplified without and is required for many important quantum communication introducing error [ 6 ] and thus can be very difficult to and computing protocols. When these channels are lossy and distribute over large distances using conventional noisy, it is often impossible to directly transmit quantum states communication techniques. Despite current limitations, some between two distant parties. We use a new technique called quantum communication protocols have already been superdense teleportation to communicate quantum demonstrated over long-distances in terrestrial experiments. information deterministically with greatly reduced resources, Notably, quantum teleportation (a remote quantum state simplified measurements, and decreased classical transfer protocol), -
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. -
Analysis of Quantum Error-Correcting Codes: Symplectic Lattice Codes and Toric Codes
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Caltech Theses and Dissertations Analysis of quantum error-correcting codes: symplectic lattice codes and toric codes Thesis by James William Harrington Advisor John Preskill In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy California Institute of Technology Pasadena, California 2004 (Defended May 17, 2004) ii c 2004 James William Harrington All rights Reserved iii Acknowledgements I can do all things through Christ, who strengthens me. Phillipians 4:13 (NKJV) I wish to acknowledge first of all my parents, brothers, and grandmother for all of their love, prayers, and support. Thanks to my advisor, John Preskill, for his generous support of my graduate studies, for introducing me to the studies of quantum error correction, and for encouraging me to pursue challenging questions in this fascinating field. Over the years I have benefited greatly from stimulating discussions on the subject of quantum information with Anura Abeyesinge, Charlene Ahn, Dave Ba- con, Dave Beckman, Charlie Bennett, Sergey Bravyi, Carl Caves, Isaac Chenchiah, Keng-Hwee Chiam, Richard Cleve, John Cortese, Sumit Daftuar, Ivan Deutsch, Andrew Doherty, Jon Dowling, Bryan Eastin, Steven van Enk, Chris Fuchs, Sho- hini Ghose, Daniel Gottesman, Ted Harder, Patrick Hayden, Richard Hughes, Deborah Jackson, Alexei Kitaev, Greg Kuperberg, Andrew Landahl, Chris Lee, Debbie Leung, Carlos Mochon, Michael Nielsen, Smith Nielsen, Harold Ollivier, Tobias Osborne, Michael Postol, Philippe Pouliot, Marco Pravia, John Preskill, Eric Rains, Robert Raussendorf, Joe Renes, Deborah Santamore, Yaoyun Shi, Pe- ter Shor, Marcus Silva, Graeme Smith, Jennifer Sokol, Federico Spedalieri, Rene Stock, Francis Su, Jacob Taylor, Ben Toner, Guifre Vidal, and Mas Yamada. -
Superdense Coding Ch.4.4 No Cloning Ch.4.2
C/CS/PhysC191 SuperdenseCoding,NoCloning 9/15/07 Fall 2009 Lecture 6 1 Readings Benenti, Casati, and Strini: Superdense Coding Ch.4.4 No Cloning Ch.4.2 2 Superdense Coding Super dense coding is the less popular sibling of teleportation. It can actually be viewed as the process in reverse. The idea is to transmit two classical bits of information by only sending one quantum bit. The process starts out with an EPR pair that is shared between the sender (Alice) and receiver (Bob). ψ = 1 00 + 11 √2 The first qubit is Alice’s, the second is Bob’s. Alice wants to send a two bit message to Bob, e.g., 00, 01, 10, or 11. She first performs a single qubit operation on her qubit which transforms the EPR pair according to which message she wants to send: • for a message 00: Alice applies I (i.e., does nothing) • for a message 01: Alice applies X • for a message 10: Alice applies Z • for a message 11: Alice applies iY (i.e. both X and Z) + + + This transforms the EPR pair φ into the four Bell (EPR) states φ , φ − , ψ , and ψ− , respec- tively: 1 1 0 0 • 00: 1 00 + 11 1 00 + 11 = 1 0 1 √2 −→ √2 √2 0 1 0 0 1 1 • 01: 1 00 + 11 1 10 + 01 = 1 1 0 √2 −→ √2 √2 1 0 1 1 0 0 • 10: 1 00 + 11 1 00 11 = 1 0 1 √2 −→ √2 − √2 0 − 1 − C/CS/Phys C191, Fall 2009, Lecture 6 1 0 0 i 1 • 11: i − 1 00 + 11 1 01 10 = 1 i 0 √2 −→ √2 − √2 1 − 0 The key to super-dense coding is that these four Bell states are orthonormal and are hence distinguishable by a quantum measurement, in this case a two-qubit measurement made by Bob. -
QIP 2010 Tutorial and Scientific Programmes
QIP 2010 15th – 22nd January, Zürich, Switzerland Tutorial and Scientific Programmes asymptotically large number of channel uses. Such “regularized” formulas tell us Friday, 15th January very little. The purpose of this talk is to give an overview of what we know about 10:00 – 17:10 Jiannis Pachos (Univ. Leeds) this need for regularization, when and why it happens, and what it means. I will Why should anyone care about computing with anyons? focus on the quantum capacity of a quantum channel, which is the case we understand best. This is a short course in topological quantum computation. The topics to be covered include: 1. Introduction to anyons and topological models. 15:00 – 16:55 Daniel Nagaj (Slovak Academy of Sciences) 2. Quantum Double Models. These are stabilizer codes, that can be described Local Hamiltonians in quantum computation very much like quantum error correcting codes. They include the toric code This talk is about two Hamiltonian Complexity questions. First, how hard is it to and various extensions. compute the ground state properties of quantum systems with local Hamiltonians? 3. The Jones polynomials, their relation to anyons and their approximation by Second, which spin systems with time-independent (and perhaps, translationally- quantum algorithms. invariant) local interactions could be used for universal computation? 4. Overview of current state of topological quantum computation and open Aiming at a participant without previous understanding of complexity theory, we will discuss two locally-constrained quantum problems: k-local Hamiltonian and questions. quantum k-SAT. Learning the techniques of Kitaev and others along the way, our first goal is the understanding of QMA-completeness of these problems. -
Reliably Distinguishing States in Qutrit Channels Using One-Way LOCC
Reliably distinguishing states in qutrit channels using one-way LOCC Christopher King Department of Mathematics, Northeastern University, Boston MA 02115 Daniel Matysiak College of Computer and Information Science, Northeastern University, Boston MA 02115 July 15, 2018 Abstract We present numerical evidence showing that any three-dimensional subspace of C3 ⊗ Cn has an orthonormal basis which can be reliably dis- tinguished using one-way LOCC, where a measurement is made first on the 3-dimensional part and the result used to select an optimal measure- ment on the n-dimensional part. This conjecture has implications for the LOCC-assisted capacity of certain quantum channels, where coordinated measurements are made on the system and environment. By measuring first in the environment, the conjecture would imply that the environment- arXiv:quant-ph/0510004v1 1 Oct 2005 assisted classical capacity of any rank three channel is at least log 3. Sim- ilarly by measuring first on the system side, the conjecture would imply that the environment-assisting classical capacity of any qutrit channel is log 3. We also show that one-way LOCC is not symmetric, by providing an example of a qutrit channel whose environment-assisted classical capacity is less than log 3. 1 1 Introduction and statement of results The noise in a quantum channel arises from its interaction with the environment. This viewpoint is expressed concisely in the Lindblad-Stinespring representation [6, 8]: Φ(|ψihψ|)= Tr U(|ψihψ|⊗|ǫihǫ|)U ∗ (1) E Here E is the state space of the environment, which is assumed to be initially prepared in a pure state |ǫi. -
Potential Capacities of Quantum Channels 2
WINTER AND YANG: POTENTIAL CAPACITIES OF QUANTUM CHANNELS 1 Potential Capacities of Quantum Channels Andreas Winter and Dong Yang Abstract—We introduce potential capacities of quantum chan- Entangled inputs between different quantum channels open the nels in an operational way and provide upper bounds for these door to all kinds of effects that are impossible in classical quantities, which quantify the ultimate limit of usefulness of a information theory. An extreme phenomenon is superactivation channel for a given task in the best possible context. Unfortunately, except for a few isolated cases, potential capac- [13]; there exist two quantum channels that cannot transmit ities seem to be as hard to compute as their “plain” analogues. quantum information when they are used individually, but can We thus study upper bounds on some potential capacities: For transmit at positive rate when they are used together. the classical capacity, we give an upper bound in terms of the The phenomenon of superactivation, and more broadly of entanglement of formation. To establish a bound for the quantum super-additivity, implies that the capacity of a quantum channel and private capacity, we first “lift” the channel to a Hadamard channel and then prove that the quantum and private capacity does not adequately characterize the channel, since the utility of a Hadamard channel is strongly additive, implying that for of the channel depends on what other contextual channels are these channels, potential and plain capacity are equal. Employing available. So it is natural to ask the following question: What these upper bounds we show that if a channel is noisy, however is the maximum possible capability of a channel to transmit close it is to the noiseless channel, then it cannot be activated information when it is used in combination with any other into the noiseless channel by any other contextual channel; this conclusion holds for all the three capacities. -
Classical Information Capacity of Superdense Coding
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by CERN Document Server Classical information capacity of superdense coding Garry Bowen∗ Department of Physics, Australian National University, Canberra, A.C.T. 0200, Australia. (February 1, 2001) Classical communication through quantum channels may be enhanced by sharing entanglement. Superdense coding allows the encoding, and transmission, of up to two classical bits of information in a single qubit. In this paper, the maximum classical channel capacity for states that are not maximally entangled is derived. Particular schemes are then shown to attain this capacity, firstly for pairs of qubits, and secondly for pairs of qutrits. 03.67.Hk Quantum information exhibits many features which do ters, then the maximal amount of classical information not have analogues in classical information theory [1]. that may be transferred is given by the Kholevo bound For this reason, when a quantum channel is used for com- [10], munication, there exist a number of different capacities for the different types of information transmitted through C = max S p (U k I )ρ (U k I )y k k A B AB A B the channel [2{5]. fU ;pkg ⊗ ⊗ A " k ! Superdense coding (referred to in this paper simply as X dense coding), first proposed by Bennett and Wiesner [6], k k y pkS (U IB )ρAB(U IB ) : (1) is where the transmission of classical information through − A ⊗ A ⊗ k # a quantum channel is enhanced by shared entanglement X between sender and receiver. The classical information This bound has been shown to be asymptotically attain- capacity for a channel where sender and receiver share able by using product state block coding [8,11]. -
Simulation of BB84 Quantum Key Distribution in Depolarizing Channel
Proceedings of 14th Youth Conference on Communication Simulation of BB84 Quantum Key Distribution in depolarizing channel Hui Qiao, Xiao-yu Chen* College of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou, 310018, China [email protected] Abstract: In this paper, we employ the standard BB84 protocol as the basic model of quantum key distribution (QKD) in depolarizing channel. We also give the methods to express the preparation and measurement of quantum states on classical computer and realize the simulation of quantum key distribution. The simulation results are consistent with the theoretical results. It was shown that the simulation of QKD with Matlab is feasible. It provides a new method to demonstrate the QKD protocol. QKD; simulation; depolarizing channel; data reconciliation; privacy amplification Keywords: [4] 1. Introduction 1989 . In 1993, Muller, Breguet, and Gisin demonstrated the feasibility of polarization-coding The purpose of quantum key distribution (QKD) [5] fiber-based QKD over 1.1km telecom fiber and and classical key distribution is consistent, their Townsend, Rarity, and Tapster demonstrated the difference are the realization methods. The classical key feasibility of phase-coding fiber-based QKD over 10km distribution is based on the mathematical theory of telecom fiber[6]. Up to now, the security transmission computational complexity, whereas the QKD based on [7] distance of QKD has been achieved over 120km . the fundamental principle of quantum mechanics. The At present, the study of QKD is limited to first QKD protocol is BB84 protocol, which was theoretical and experimental. The unconditionally secure proposed by Bennett and Brassard in 1984 [1].The protocol in theory needs further experimental verification. -
General Overview of the Field
Introduction to quantum computing and simulability General overview of the field Daniel J. Brod Leandro Aolita Ernesto Galvão Outline: General overview of the field • What is quantum computing? • A bit of history; • The rules: the postulates of quantum mechanics; • Information-theoretic-flavoured consequences; • Entanglement; • No-cloning; • Teleportation; • Superdense coding; What is quantum computing? • Computing paradigm where information is processed with the rules of quantum mechanics. • Extremely interdisciplinary research area! • Physics, Computer science, Mathematics; • Engineering (the thing looks nice on paper, but building it is hard!); • Chemistry, biology and others (applications); • Promised speedup on certain computational problems; • New insights into foundations of quantum mechanics and computer science. Let’s begin with some history! Timeline of (classical) computing Charles Babbage Ada Lovelace (1791-1871) (1815-1852) Analytical Engine (1837) First computer program (1843) First proposed general purpose Written by Ada Lovelace for the mechanical computer. Not Analytical engine. Computes completed by lack of money ☹️ Bernoulli numbers. Timeline of (classical) computing Alonzo Church Alan Turing (1903-1995) (1912-1954) 1 0 1 0 0 1 1 0 1 Turing Machine (1936) World War II Abstract model for a universal Colossus, Bombe, Z3/Z4 and others; computing device. - Decryption of secret messages; - Ballistics; Timeline of (classical) computing Intel® 4004 (1971) 2.300 transistors. Intel® Core™ (2010) 560.000.000 transistors. Transistor -
The IBM Quantum Computing Platform
The IBM Quantum Computing Platform Martin Koppenh¨ofer https://www.quantumtheory-bruder.physik.unibas.ch/ Online resources https://www.quantumtheory-bruder.physik.unibas.ch/ people/martin-koppenhoefer/ quantum-computing-and-robotic-science-workshop.html installation guide material for this session slides 2 Outline 1 Recap Overview of quantum-computing platforms Bell states 2 Programming the quantum computer with python The qiskit framework Programming session 1 3 Superdense coding Programming session 2 4 Quantum algorithms Deutsch algorithm Programming session 3 3 Recap spins in large molecules + NMR ions in electromagnetic traps neutral atoms in optical lattices optical quantum computing 31P donor atoms in silicon electron spins in semiconductor quantum dots superconducting electrical circuits flux qubit * charge qubit phase qubit * transmon qubit topological qubits * online access 4 Recap Bell states 1 2 3 x H 1 jβ00i = p (j00i + j11i) |βxy > 2 CNOT 1 y jβ01i = p (j01i + j10i) 2 1 jβ10i = p (j00i − j11i) 1 input state: jxyi = j00i 2 2 apply Hadamard gate 1 jβ i = p (j01i − j10i) 1 1 11 H^ = p1 : 2 2 1 −1 p1 (j00i + j10i) General expression: 2 jβ i = p1 (j0yi + (−1)x j1¯yi) 3 apply CNOT gate: xy 2 p1 (j00i + j11i) = jβ i 2 00 5 Recap Bell states 6 Recap Bell states on a real quantum processor 7 Programming the quantum computer with python The qiskit framework 8 Programming the quantum computer with python The qiskit framework Terra Ignis define quantum algorithms characterize quantum by quantum circuits / pulses hardware adapt quantum -
Experimental Observation of Coherent-Information Superadditivity in a Dephrasure Channel
Experimental observation of coherent-information superadditivity in a dephrasure channel 1, 2 1, 2 3, 1, 2 1, 2 1, 2 1, 2 Shang Yu, Yu Meng, Raj B. Patel, ∗ Yi-Tao Wang, Zhi-Jin Ke, Wei Liu, Zhi-Peng Li, 1, 2 1, 2 1, 2, 1, 2, 1, 2 Yuan-Ze Yang, Wen-Hao Zhang, Jian-Shun Tang, † Chuan-Feng Li, ‡ and Guang-Can Guo 1CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, 230026, China 2CAS Center For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, 230026, P.R. China 3Clarendon Laboratory, Department of Physics, Oxford University, Parks Road OX1 3PU Oxford, United Kingdom We present an experimental approach to construct a dephrasure channel, which contains both dephasing and erasure noises, and can be used as an efficient tool to study the superadditivity of coherent information. By using a three-fold dephrasure channel, the superadditivity of coherent information is observed, and a substantial gap is found between the zero single-letter coherent information and zero quantum capacity. Particularly, we find that when the coherent information of n channel uses is zero, in the case of larger number of channel uses, it will become positive. These phenomena exhibit a more obvious superadditivity of coherent information than previous works, and demonstrate a higher threshold for non-zero quantum capacity. Such novel channels built in our experiment also can provide a useful platform to study the non-additive properties of coherent information and quantum channel capacity. Introduction.—Channel capacity is at the heart of in- capacity [16, 17].