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Journal articles on the topic 'Quantum information processing'

To see the other types of publications on this topic, follow the link: Quantum information processing.

Author: Grafiati

Published: 4 June 2021

Last updated: 7 September 2023

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1

TAKEOKA, Masahiro, and Masahide SASAKI. "Introduction to Optical Quantum Information Processing 3. Quantum Information Processing Protocols and Quantum Computation." Review of Laser Engineering 33, no. 1 (2005): 57–61. http://dx.doi.org/10.2184/lsj.33.57.

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2

Cirac, J. I., L. M. Duan, D. Jaksch, and P. Zoller. "Quantum Information Processing with Quantum Optics." Annales Henri Poincaré 4, S2 (December 2003): 759–81. http://dx.doi.org/10.1007/s00023-003-0960-8.

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3

Ramanathan, Chandrasekhar, Nicolas Boulant, Zhiying Chen, David G. Cory, Isaac Chuang, and Matthias Steffen. "NMR Quantum Information Processing." Quantum Information Processing 3, no. 1-5 (October 2004): 15–44. http://dx.doi.org/10.1007/s11128-004-3668-x.

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4

Kok, Pieter. "Photonic quantum information processing." Contemporary Physics 57, no. 4 (May 10, 2016): 526–44. http://dx.doi.org/10.1080/00107514.2016.1178472.

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5

Mosca, M., R. Jozsa, A. Steane, and A. Ekert. "Quantum–enhanced information processing." Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences 358, no. 1765 (January 15, 2000): 261–79. http://dx.doi.org/10.1098/rsta.2000.0531.

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6

ALTAISKY, MIKHAIL V., and NATALIA E. KAPUTKINA. "QUANTUM HIERARCHIC MODELS FOR INFORMATION PROCESSING." International Journal of Quantum Information 10, no. 02 (March 2012): 1250026. http://dx.doi.org/10.1142/s0219749912500268.

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Both classical and quantum computations operate with the registers of bits. At nanometer scale the quantum fluctuations at the position of a given bit, say, a quantum dot, not only lead to the decoherence of quantum state of this bit, but also affect the quantum states of the neighboring bits, and therefore affect the state of the whole register. That is why the requirement of reliable separate access to each bit poses the limit on miniaturization, i.e. constrains the memory capacity and the speed of computation. In the present paper we suggest an algorithmic way to tackle the problem of constructing reliable and compact registers of quantum bits. We suggest accessing the states of a quantum register hierarchically, descending from the state of the whole register to the states of its parts. Our method is similar to quantum wavelet transform, and can be applied to information compression, quantum memory, quantum computations.

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7

KIM, Jaewan. "Quantum Physics and Information Processing: Quantum Computers." Physics and High Technology 21, no. 12 (December 31, 2012): 21. http://dx.doi.org/10.3938/phit.21.052.

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8

Benhelm, J., G. Kirchmair, R. Gerritsma, F. Zähringer, T. Monz, P. Schindler, M. Chwalla, et al. "Ca+quantum bits for quantum information processing." Physica Scripta T137 (December 2009): 014008. http://dx.doi.org/10.1088/0031-8949/2009/t137/014008.

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9

Benincasa, Dionigi M. T., Leron Borsten, Michel Buck, and Fay Dowker. "Quantum information processing and relativistic quantum fields." Classical and Quantum Gravity 31, no. 7 (March 5, 2014): 075007. http://dx.doi.org/10.1088/0264-9381/31/7/075007.

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10

Knight, P. "QUANTUM COMPUTING:Enhanced: Quantum Information Processing Without Entanglement." Science 287, no. 5452 (January 21, 2000): 441–42. http://dx.doi.org/10.1126/science.287.5452.441.

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11

Deng, Y., M. X. Luo, and S. Y. Ma. "Efficient Quantum Information Processing via Quantum Compressions." International Journal of Theoretical Physics 55, no. 1 (April 25, 2015): 212–31. http://dx.doi.org/10.1007/s10773-015-2652-9.

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12

Troiani, F., U. Hohenester, and E. Molinari. "Quantum-Information Processing in Semiconductor Quantum Dots." physica status solidi (b) 224, no. 3 (April 2001): 849–53. http://dx.doi.org/10.1002/(sici)1521-3951(200104)224:3<849::aid-pssb849>3.0.co;2-q.

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13

Khabbazi Oskouei, Samad, Stefano Mancini, and Mark M. Wilde. "Union bound for quantum information processing." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 475, no. 2221 (January 2019): 20180612. http://dx.doi.org/10.1098/rspa.2018.0612.

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In this paper, we prove a quantum union bound that is relevant when performing a sequence of binary-outcome quantum measurements on a quantum state. The quantum union bound proved here involves a tunable parameter that can be optimized, and this tunable parameter plays a similar role to a parameter involved in the Hayashi–Nagaoka inequality (Hayashi & Nagaoka 2003 IEEE Trans. Inf. Theory 49 , 1753–1768. ( doi:10.1109/TIT.2003.813556 )), used often in quantum information theory when analysing the error probability of a square-root measurement. An advantage of the proof delivered here is that it is elementary, relying only on basic properties of projectors, Pythagoras' theorem, and the Cauchy–Schwarz inequality. As a non-trivial application of our quantum union bound, we prove that a sequential decoding strategy for classical communication over a quantum channel achieves a lower bound on the channel's second-order coding rate. This demonstrates the advantage of our quantum union bound in the non-asymptotic regime, in which a communication channel is called a finite number of times. We expect that the bound will find a range of applications in quantum communication theory, quantum algorithms and quantum complexity theory.

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14

HSU, STEPHEN D. H. "INFORMATION, INFORMATION PROCESSING AND GRAVITY." International Journal of Modern Physics A 22, no. 16n17 (July 10, 2007): 2895–907. http://dx.doi.org/10.1142/s0217751x07036853.

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I discuss fundamental limits placed on information and information processing by gravity. Such limits arise because both information and its processing require energy, while gravitational collapse (formation of a horizon or black hole) restricts the amount of energy allowed in a finite region. Specifically, I use a criterion for gravitational collapse called the hoop conjecture. Once the hoop conjecture is assumed a number of results can be obtained directly: the existence of a fundamental uncertainty in spatial distance of order the Planck length, bounds on information (entropy) in a finite region, and a bound on the rate of information processing in a finite region. In the final section I discuss some cosmological issues, related to the total amount of information in the universe, and note that almost all detailed aspects of the late universe are determined by the randomness of quantum outcomes. This paper is based on a talk presented at a 2007 Bellairs Research Institute (McGill University) workshop on black holes and quantum information.

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15

Wrachtrup, Jörg, and Fedor Jelezko. "Processing quantum information in diamond." Journal of Physics: Condensed Matter 18, no. 21 (May 12, 2006): S807—S824. http://dx.doi.org/10.1088/0953-8984/18/21/s08.

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16

Gough, John E., and Viacheslav P. Belavkin. "Quantum control and information processing." Quantum Information Processing 12, no. 3 (October 18, 2012): 1397–415. http://dx.doi.org/10.1007/s11128-012-0491-7.

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17

Mahesh, T. S. "Quantum information processing by NMR." Resonance 20, no. 11 (November 2015): 1053–65. http://dx.doi.org/10.1007/s12045-015-0273-5.

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18

Zoller, P., Th Beth, D. Binosi, R. Blatt, H. Briegel, D. Bruss, T. Calarco, et al. "Quantum information processing and communication." European Physical Journal D 36, no. 2 (September 13, 2005): 203–28. http://dx.doi.org/10.1140/epjd/e2005-00251-1.

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19

Munro, W. J., Kae Nemoto, T. P. Spiller, S. D. Barrett, Pieter Kok, and R. G. Beausoleil. "Efficient optical quantum information processing." Journal of Optics B: Quantum and Semiclassical Optics 7, no. 7 (June 30, 2005): S135—S140. http://dx.doi.org/10.1088/1464-4266/7/7/002.

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20

Andersen, U. L., G. Leuchs, and C. Silberhorn. "Continuous-variable quantum information processing." Laser & Photonics Reviews 4, no. 3 (July 13, 2009): 337–54. http://dx.doi.org/10.1002/lpor.200910010.

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21

OMAR, YASSER. "PARTICLE STATISTICS IN QUANTUM INFORMATION PROCESSING." International Journal of Quantum Information 03, no. 01 (March 2005): 201–5. http://dx.doi.org/10.1142/s021974990500075x.

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Particle statistics is a fundamental part of quantum physics, and yet its role and use in the context of quantum information have been poorly explored so far. After briefly introducing particle statistics and the Symmetrization Postulate, we argue that this fundamental aspect of nature can be seen as a resource for quantum information processing and present examples showing how it is possible to do useful and efficient quantum information processing using only the effects of particle statistics.

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22

Furusawa, Akira. "Perspective on hybrid quantum information processing: a method for large-scale quantum information processing." Journal of Optics 19, no. 7 (June 6, 2017): 070401. http://dx.doi.org/10.1088/2040-8986/aa72fc.

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23

RAHIMI, ROBABEH, KAZUNOBU SATO, KOU FURUKAWA, KAZUO TOYOTA, DAISUKE SHIOMI, TOSHIHIRO NAKAMURA, MASAHIRO KITAGAWA, and TAKEJI TAKUI. "PULSED ENDOR-BASED QUANTUM INFORMATION PROCESSING." International Journal of Quantum Information 03, supp01 (November 2005): 197–204. http://dx.doi.org/10.1142/s0219749905001377.

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Pulsed Electron Nuclear DOuble Resonance (pulsed ENDOR) has been studied for realization of quantum algorithms, emphasizing the implementation of organic molecular entities with an electron spin and a nuclear spin for quantum information processing. The scheme has been examined in terms of quantum information processing. Particularly, superdense coding has been implemented from the experimental side and the preliminary results are represented as theoretical expectations.

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24

Laflamme, R., D. Cory, C. Negrevergne, and L. Viola. "NMR quantum information processing and entanglement." Quantum Information and Computation 2, no. 2 (February 2002): 166–76. http://dx.doi.org/10.26421/qic2.2-5.

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In this essay we discuss the issue of quantum information and recent nuclear magnetic resonance (NMR) experiments. We explain why these experiments should be regarded as quantum information processing (QIP) despite the fact that, in present liquid state NMR experiments, no entanglement is found. We comment on how these experiments contribute to the future of QIP and include a brief discussion on the origin of the power of quantum computers.

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25

Alicki, Robert. "Stability versus reversibility in information processing." International Journal of Modern Physics: Conference Series 33 (January 2014): 1460353. http://dx.doi.org/10.1142/s2010194514603536.

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The paper is motivated by the discussion of feasibility of large scale quantum computations which should incorporate both unitarity of quantum dynamics for information bearing degrees of freedom and stability with respect to environmental noise. The minimal thermodynamic cost of a single CNOT gate, which is equivalent to the minimal cost of a quantum measurement of a binary observable is analyzed using a generic quantum model of one bit memory. For this model stability of memory with respect to thermal and quantum noise and the error of readout can be quantified. One obtains the relations between the minimal work which is invested in a measurement or CNOT gate, the error and the stability factor. The basic formula differs from the standard Landauer one and seems to be much more realistic. The results show the fundamental conflict between stability and irreversibility of information processing. This explains the feasibility of classical stable and scalable information processing performed by irreversible gates and suggests impossibility of large scale quantum computations based on unitary gates.

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26

Serra, R. M., and I. S. Oliveira. "Nuclear magnetic resonance quantum information processing." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 370, no. 1976 (October 13, 2012): 4615–19. http://dx.doi.org/10.1098/rsta.2012.0332.

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For the past decade, nuclear magnetic resonance (NMR) has been established as a main experimental technique for testing quantum protocols in small systems. This Theme Issue presents recent advances and major challenges of NMR quantum information possessing (QIP), including contributions by researchers from 10 different countries. In this introduction, after a short comment on NMR-QIP basics, we briefly anticipate the contents of this issue.

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27

Jun, Liu, Wang Qiong, Kuang Le-Man, and Zeng Hao-Sheng. "Distributed quantum information processing via quantum dot spins." Chinese Physics B 19, no. 3 (March 2010): 030313. http://dx.doi.org/10.1088/1674-1056/19/3/030313.

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28

Long, Gui Lu. "Duality Quantum Computing and Duality Quantum Information Processing." International Journal of Theoretical Physics 50, no. 4 (December 1, 2010): 1305–18. http://dx.doi.org/10.1007/s10773-010-0603-z.

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29

Yamamoto, Y. "Quantum Communication and Information Processing with Quantum Dots." Quantum Information Processing 5, no. 5 (August 29, 2006): 299–311. http://dx.doi.org/10.1007/s11128-006-0027-0.

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30

Stobińska, M., A. Buraczewski, M. Moore, W. R. Clements, J. J. Renema, S. W. Nam, T. Gerrits, et al. "Quantum interference enables constant-time quantum information processing." Science Advances 5, no. 7 (July 2019): eaau9674. http://dx.doi.org/10.1126/sciadv.aau9674.

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It is an open question how fast information processing can be performed and whether quantum effects can speed up the best existing solutions. Signal extraction, analysis, and compression in diagnostics, astronomy, chemistry, and broadcasting build on the discrete Fourier transform. It is implemented with the fast Fourier transform (FFT) algorithm that assumes a periodic input of specific lengths, which rarely holds true. A lesser-known transform, the Kravchuk-Fourier (KT), allows one to operate on finite strings of arbitrary length. It is of high demand in digital image processing and computer vision but features a prohibitive runtime. Here, we report a one-step computation of a fractional quantum KT. The quantum d-nary (qudit) architecture we use comprises only one gate and offers processing time independent of the input size. The gate may use a multiphoton Hong-Ou-Mandel effect. Existing quantum technologies may scale it up toward diverse applications.

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31

D’Amico, Irene, Eliana Biolatti, Fausto Rossi, Sergio DeRinaldis, Ross Rinaldis, and Roberto Cingolani. "GaN quantum dot based quantum information/computation processing." Superlattices and Microstructures 31, no. 2-4 (February 2002): 117–25. http://dx.doi.org/10.1006/spmi.2002.1033.

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32

Oi, Tetsu. "Biological Information Processing Requires Quantum Logic." Zeitschrift für Naturforschung C 43, no. 9-10 (October 1, 1988): 777–81. http://dx.doi.org/10.1515/znc-1988-9-1023.

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Abstract Chaos dynamics, which characterizes biological information processing, generates information along the course of temporal development of the relevant system. In this system, the macroscopic uncertainty principle holds between observation time Δt and phase space volume ΔΩ determined by this observation. In other words Δt and ΔΩ cannot simultaneously be small. This principle corresponds to the microscopic uncertainty principle that holds in quantum physics. Through an analogy to this correspondence, it is shown that quantum logic might also govern such macroscopic phenomena as are governed by chaos dynamics.

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33

Singh, Mahi R. "Quantum Information Processing in Photonic Crystals." Advanced Materials Research 31 (November 2007): 236–41. http://dx.doi.org/10.4028/www.scientific.net/amr.31.236.

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We have studied the quantum information processing phenomenon in photonic crystals doped with four-level nanoparticles. This phenomenon occurs due to the switching mechanism in the system. We consider that one of the transition energies of nanoparticles is coupled near resonantly with a photonic band gap edge. The dipole-dipole interaction between the nanoparticles has also been included. It is found that the system switches between the transparent and nontransparent states due to the dipole-dipole interaction and the band edge coupling. This is an interesting finding and can be used to produce logical photon switches in the quantum information processing.

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34

Blais, Alexandre, Steven M. Girvin, and William D. Oliver. "Quantum information processing and quantum optics with circuit quantum electrodynamics." Nature Physics 16, no. 3 (March 2020): 247–56. http://dx.doi.org/10.1038/s41567-020-0806-z.

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35

Monras, A., and O. Romero-Isart. "Quantum information processing with quantum zeno many-body dynamics." Quantum Information and Computation 10, no. 3&4 (March 2010): 201–22. http://dx.doi.org/10.26421/qic10.3-4-3.

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We show how the quantum Zeno effect can be exploited to control quantum many-body dynamics for quantum information and computation purposes. In particular, we consider a one dimensional array of three level systems interacting via a nearest-neighbour interaction. By encoding the qubit on two levels and using simple projective frequent measurements yielding the quantum Zeno effect, we demonstrate how to implement a well defined quantum register, quantum state transfer on demand, universal two-qubit gates and two-qubit parity measurements. Thus, we argue that the main ingredients for universal quantum computation can be achieved in a spin chain with an {\em always-on} and {\em constant} many-body Hamiltonian. We also show some possible modifications of the initially assumed dynamics in order to create maximally entangled qubit pairs and single qubit gates.

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36

U'Ren, A. B., K. Banaszek, and I. A. Walmsley. "Photon engineering for quantum information processing." Quantum Information and Computation 3, special (October 2003): 480–502. http://dx.doi.org/10.26421/qic3.s-3.

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We study distinguishing information in the context of quantum interference involving more than one parametric downconversion (PDC) source and in the context of generating polarization-entangled photon pairs based on PDC. We arrive at specific design criteria for two-photon sources so that when used as part of complex optical systems, such as photon-based quantum information processing schemes, distinguishing information between the photons is eliminated guaranteeing high visibility interference. We propose practical techniques which lead to suitably engineered two-photon states that can be realistically implemented with available technology. Finally, we study an implementation of the nonlinear-sign shift (NS) logic gate with PDC sources and show the effect of distinguishing information on the performance of the gate.

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37

LUO, MING-XING, XIU-BO CHEN, YI-XIAN YANG, and XIN-XIN NIU. "CLASSICAL COMMUNICATION COSTS IN QUANTUM INFORMATION PROCESSING." International Journal of Quantum Information 09, no. 05 (August 2011): 1267–78. http://dx.doi.org/10.1142/s0219749911007952.

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Classical communication plays an important role in quantum information processing such as remote state preparation and quantum teleportation. First, in this paper, we present some simple faithful remote state preparation of an arbitrary n-qubit state by constructing entanglement resources and special measurement basis for the sender. Then to weigh the classical resource required, we present an information-theoretical model to evaluate the classical communication cost. By optimizing the classical communication in quantum protocols, we obtain the optimal classical communication cost. This model can also be applied to the quantum teleportation. Moreover, based on the present computation model, we reinvestigate some remote state preparation and teleportation protocols in which the classical communication cost was imperfectly computed. Finally, some problems will be presented.

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38

Terekhov, A. I. "Bibliometric Trends in Quantum Information Processing." Scientific and Technical Information Processing 47, no. 2 (April 2020): 94–103. http://dx.doi.org/10.3103/s0147688220020021.

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39

Pazy, Ehoud. "Spin-Based Optical Quantum Information Processing." Israel Journal of Chemistry 46, no. 4 (December 2006): 357–70. http://dx.doi.org/10.1560/ijc_46_4_357.

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40

TAKEOKA, Masahiro, and Masahide SASAKI. "Introduction to Optical Quantum Information Processing." Review of Laser Engineering 33, no. 3 (2005): 194–200. http://dx.doi.org/10.2184/lsj.33.194.

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41

Yukalov, Vyacheslav, and Didier Sornette. "Processing Information in Quantum Decision Theory." Entropy 11, no. 4 (December 14, 2009): 1073–120. http://dx.doi.org/10.3390/e11041073.

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42

Boulant, N., J. Emerson, T. F. Havel, D. G. Cory, and S. Furuta. "Incoherent noise and quantum information processing." Journal of Chemical Physics 121, no. 7 (August 15, 2004): 2955–61. http://dx.doi.org/10.1063/1.1773161.

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43

Flamini, Fulvio, Nicolò Spagnolo, and Fabio Sciarrino. "Photonic quantum information processing: a review." Reports on Progress in Physics 82, no. 1 (November 13, 2018): 016001. http://dx.doi.org/10.1088/1361-6633/aad5b2.

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44

Wineland, D. J., M. Barrett, J. Britton, J. Chiaverini, B. DeMarco, W. M. Itano, B. Jelenković, et al. "Quantum information processing with trapped ions." Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences 361, no. 1808 (July 15, 2003): 1349–61. http://dx.doi.org/10.1098/rsta.2003.1205.

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45

U'ren, Alfred B., Eran Mukamel, Konrad Banaszek, and Ian A. Walmsley. "Managing photons for quantum information processing." Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences 361, no. 1808 (July 15, 2003): 1493–506. http://dx.doi.org/10.1098/rsta.2003.1216.

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46

Miller, D. A. B. "Quantum Wells For Optical Information Processing." Optical Engineering 26, no. 5 (May 1, 1987): 265368. http://dx.doi.org/10.1117/12.7974085.

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47

Biolatti, Eliana, Rita C. Iotti, Paolo Zanardi, and Fausto Rossi. "Quantum Information Processing with Semiconductor Macroatoms." Physical Review Letters 85, no. 26 (December 25, 2000): 5647–50. http://dx.doi.org/10.1103/physrevlett.85.5647.

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48

Zanardi, P., I. D’Amico, R. Ionicioiu, E. Pazy, E. Biolatti, R. C. Iotti, and F. Rossi. "Quantum information processing using semiconductor nanostructures." Physica B: Condensed Matter 314, no. 1-4 (March 2002): 1–9. http://dx.doi.org/10.1016/s0921-4526(01)01405-3.

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49

Lee, Chiu Fan, and Neil F. Johnson. "Exploiting randomness in quantum information processing." Physics Letters A 301, no. 5-6 (September 2002): 343–49. http://dx.doi.org/10.1016/s0375-9601(02)01088-5.

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50

Jaeger, Gregg. "Fractal states in quantum information processing." Physics Letters A 358, no. 5-6 (October 2006): 373–76. http://dx.doi.org/10.1016/j.physleta.2006.05.053.

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