The Quantum Capacity with Symmetric Side Channels Graeme Smith, John A
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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. -
Some Open Problems in Quantum Information Theory
Some Open Problems in Quantum Information Theory Mary Beth Ruskai∗ Department of Mathematics, Tufts University, Medford, MA 02155 [email protected] June 14, 2007 Abstract Some open questions in quantum information theory (QIT) are described. Most of them were presented in Banff during the BIRS workshop on Operator Structures in QIT 11-16 February 2007. 1 Extreme points of CPT maps In QIT, a channel is represented by a completely-positive trace-preserving (CPT) map Φ: Md1 7→ Md2 , which is often written in the Choi-Kraus form X † X † Φ(ρ) = AkρAk with AkAk = Id1 . (1) k k The state representative or Choi matrix of Φ is 1 X Φ(|βihβ|) = d |ejihek|Φ(|ejihek|) (2) jk where |βi is a maximally entangled Bell state. Choi [3] showed that the Ak can be obtained from the eigenvectors of Φ(|βihβ|) with non-zero eigenvalues. The operators Ak in (1) are known to be defined only up to a partial isometry and are often called Kraus operators. When a minimal set is obtained from Choi’s prescription using eigenvectors of (2), they are defined up to mixing of those from degenerate eigenvalues ∗Partially supported by the National Science Foundation under Grant DMS-0604900 1 and we will refer to them as Choi-Kraus operators. Choi showed that Φ is an extreme † point of the set of CPT maps Φ : Md1 7→ Md2 if and only if the set {AjAk} is linearly independent in Md1 . This implies that the Choi matrix of an extreme CPT map has rank at most d1. -
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. -
Capacity Estimates Via Comparison with TRO Channels
Commun. Math. Phys. 364, 83–121 (2018) Communications in Digital Object Identifier (DOI) https://doi.org/10.1007/s00220-018-3249-y Mathematical Physics Capacity Estimates via Comparison with TRO Channels Li Gao1 , Marius Junge1, Nicholas LaRacuente2 1 Department of Mathematics, University of Illinois, Urbana, IL 61801, USA. E-mail: [email protected]; [email protected] 2 Department of Physics, University of Illinois, Urbana, IL 61801, USA. E-mail: [email protected] Received: 1 November 2017 / Accepted: 27 July 2018 Published online: 8 September 2018 – © Springer-Verlag GmbH Germany, part of Springer Nature 2018 Abstract: A ternary ring of operators (TRO) in finite dimensions is an operator space as an orthogonal sum of rectangular matrices. TROs correspond to quantum channels that are diagonal sums of partial traces, we call TRO channels. TRO channels have simple, single-letter entropy expressions for quantum, private, and classical capacity. Using operator space and interpolation techniques, we perturbatively estimate capacities, capacity regions, and strong converse rates for a wider class of quantum channels by comparison to TRO channels. 1. Introduction Channel capacity, introduced by Shannon in his foundational paper [45], is the ultimate rate at which information can be reliably transmitted over a communication channel. During the last decades, Shannon’s theory on noisy channels has been adapted to the framework of quantum physics. A quantum channel has various capacities depending on different communication tasks, such as quantum capacity for transmitting qubits, and private capacity for transmitting classical bits with physically ensured security. The coding theorems, which characterize these capacities by entropic expressions, were major successes in quantum information theory (see e.g. -
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. -
EU–US Collaboration on Quantum Technologies Emerging Opportunities for Research and Standards-Setting
Research EU–US collaboration Paper on quantum technologies International Security Programme Emerging opportunities for January 2021 research and standards-setting Martin Everett Chatham House, the Royal Institute of International Affairs, is a world-leading policy institute based in London. Our mission is to help governments and societies build a sustainably secure, prosperous and just world. EU–US collaboration on quantum technologies Emerging opportunities for research and standards-setting Summary — While claims of ‘quantum supremacy’ – where a quantum computer outperforms a classical computer by orders of magnitude – continue to be contested, the security implications of such an achievement have adversely impacted the potential for future partnerships in the field. — Quantum communications infrastructure continues to develop, though technological obstacles remain. The EU has linked development of quantum capacity and capability to its recovery following the COVID-19 pandemic and is expected to make rapid progress through its Quantum Communication Initiative. — Existing dialogue between the EU and US highlights opportunities for collaboration on quantum technologies in the areas of basic scientific research and on communications standards. While the EU Quantum Flagship has already had limited engagement with the US on quantum technology collaboration, greater direct cooperation between EUPOPUSA and the Flagship would improve the prospects of both parties in this field. — Additional support for EU-based researchers and start-ups should be provided where possible – for example, increasing funding for representatives from Europe to attend US-based conferences, while greater investment in EU-based quantum enterprises could mitigate potential ‘brain drain’. — Superconducting qubits remain the most likely basis for a quantum computer. Quantum computers composed of around 50 qubits, as well as a quantum cloud computing service using greater numbers of superconducting qubits, are anticipated to emerge in 2021. -
On the Complementary Quantum Capacity of the Depolarizing Channel
On the complementary quantum capacity of the depolarizing channel Debbie Leung1 and John Watrous2 1Institute for Quantum Computing and Department of Combinatorics and Optimization, University of Waterloo 2Institute for Quantum Computing and School of Computer Science, University of Waterloo October 2, 2018 The qubit depolarizing channel with noise parameter η transmits an input qubit perfectly with probability 1 − η, and outputs the completely mixed state with probability η. We show that its complementary channel has positive quantum capacity for all η > 0. Thus, we find that there exists a single parameter family of channels having the peculiar property of having positive quantum capacity even when the outputs of these channels approach a fixed state independent of the input. Comparisons with other related channels, and implications on the difficulty of studying the quantum capacity of the depolarizing channel are discussed. 1 Introduction It is a fundamental problem in quantum information theory to determine the capacity of quantum channels to transmit quantum information. The quantum capacity of a channel is the optimal rate at which one can transmit quantum data with high fidelity through that channel when an asymptotically large number of channel uses is made available. In the classical setting, the capacity of a classical channel to transmit classical data is given by Shannon’s noisy coding theorem [12]. Although the error correcting codes that allow one to approach the capacity of a channel may involve increasingly large block lengths, the capacity expression itself is a simple, single letter formula involving an optimization over input distributions maximizing the input/output mutual information over one use of the channel. -
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]. -
Analysis of Quantum Error-Correcting Codes: Symplectic Lattice Codes and Toric Codes
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. Thanks to Chip Kent for running some of my longer numerical simulations on a computer system in the High Performance Computing Environments Group (CCN-8) at Los Alamos National Laboratory. -
Quantum Interactive Proofs and the Complexity of Separability Testing
THEORY OF COMPUTING www.theoryofcomputing.org Quantum interactive proofs and the complexity of separability testing Gus Gutoski∗ Patrick Hayden† Kevin Milner‡ Mark M. Wilde§ October 1, 2014 Abstract: We identify a formal connection between physical problems related to the detection of separable (unentangled) quantum states and complexity classes in theoretical computer science. In particular, we show that to nearly every quantum interactive proof complexity class (including BQP, QMA, QMA(2), and QSZK), there corresponds a natural separability testing problem that is complete for that class. Of particular interest is the fact that the problem of determining whether an isometry can be made to produce a separable state is either QMA-complete or QMA(2)-complete, depending upon whether the distance between quantum states is measured by the one-way LOCC norm or the trace norm. We obtain strong hardness results by proving that for each n-qubit maximally entangled state there exists a fixed one-way LOCC measurement that distinguishes it from any separable state with error probability that decays exponentially in n. ∗Supported by Government of Canada through Industry Canada, the Province of Ontario through the Ministry of Research and Innovation, NSERC, DTO-ARO, CIFAR, and QuantumWorks. †Supported by Canada Research Chairs program, the Perimeter Institute, CIFAR, NSERC and ONR through grant N000140811249. The Perimeter Institute is supported by the Government of Canada through Industry Canada and by the arXiv:1308.5788v2 [quant-ph] 30 Sep 2014 Province of Ontario through the Ministry of Research and Innovation. ‡Supported by NSERC. §Supported by Centre de Recherches Mathematiques.´ ACM Classification: F.1.3 AMS Classification: 68Q10, 68Q15, 68Q17, 81P68 Key words and phrases: quantum entanglement, quantum complexity theory, quantum interactive proofs, quantum statistical zero knowledge, BQP, QMA, QSZK, QIP, separability testing Gus Gutoski, Patrick Hayden, Kevin Milner, and Mark M. -
Arxiv:2102.01374V1 [Quant-Ph] 2 Feb 2021
An efficient, concatenated, bosonic code for additive Gaussian noise Kosuke Fukui1 and Nicolas C. Menicucci2 1Department of Applied Physics, School of Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan 2Centre for Quantum Computation & Communication Technology, School of Science, RMIT University, Melbourne, VIC 3000, Australia Bosonic codes offer noise resilience for quantum information processing. A common type of noise in this setting is additive Gaussian noise, and a long-standing open problem is to design a concatenated code that achieves the hashing bound for this noise channel. Here we achieve this goal using a Gottesman-Kitaev-Preskill (GKP) code to detect and discard error-prone qubits, concatenated with a quantum parity code to handle the residual errors. Our method employs a linear-time decoder and has applications in a wide range of quantum computation and communication scenarios. Introduction.—Quantum-error-correcting codes known merous proposals exist to produce these states in optics, as bosonic codes [1] protect discrete quantum information as well (see Ref. [28] and references therein). Further- encoded in one or more bosonic modes. The infinite- more, the GKP qubit performs well for quantum commu- dimensional nature of the bosonic Hilbert space allows nication [29–31] thanks to the robustness against photon for more sophisticated encodings than the more com- loss [1]. In fact, recent results show that using GKP mon single-photon encoding [2–4] or that of a material qubits may greatly enhance long-distance quantum com- qubit like a transmon [5–7]. The variety of codes al- munication [32, 33]. -
Quantum Channel Capacities
Quantum Channel Capacities Peter Shor MIT Cambridge, MA Purdue University April 8, 2019 1 Outline • Brief intro to quantum mechanics • Overview of quantum information theory • Some results on feedback channels 2 Shannon's theorem (1948) The entropy of a random variable X is X H(X) = −pi log pi : i Channel Coding A noisy channel N : X ! Y has capacity max I(X; Y ); p(X) where I(X; Y ) = H(Y ) − H(Y jX) [H(output) − H(output given input)] = H(X) + H(Y ) − H(X; Y ) [(output) + H(input) − H(joint distribution)] 3 How Do We Prove Shannon's Theorem? • Use a random codebook. • Show that we can (theoretically) decode it Shannon's construction was not practical, since it takes expo- nentially long to decode. 4 John Pierce, 1973 I think that I have never met a physicist who understood infor- mation theory. I wish that physicists would stop talking about reformulating information theory and would give us a general expression for the capacity of a channel with quantum effects taken into account rather than a number of special cases. 5 Quantum Mechanics: The Superposition Principle: If a quantum system can be in one of two mutually distinguish- able states j Ai and j Bi, it can be both these states at once. Namely, it can be in the superposition of states α j Ai + β j Bi where α and β are both complex numbers and jαj2 + jβj2 = 1. If you look at the system, the chance of seeing it in state A is jαj2 and in state B is jβj2.