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Quantum information

Abstreiter, G., Finley, J. J. and Zrenner, A. (2005) Recent advances in exciton-based quantum information processing in quantum dot nanostructures. New J. Phys., 7, 184-1-184-27. [Pg.169]

The book Information and the Origin of Life by Kiipers (1990) can certainly be recommended details of new developments in the field of quantum information can be found in the book edited by BruB and Leusch (2006). [Pg.216]

BruB D and Leusch G (Eds.) (2006) Lectures on Quantum Information. John Wiley Sons Ltd. Copley SD, Smith E, Morowitz HJ (2005) Proc Natl Acad Sci USA 102 4442 de Duve C (1991) Blueprint for a cell The Nature and the Origin of Life, Carolina Biological Supply Company... [Pg.235]

The main hardware types offered by physics are mentioned, namely trapped ions (or trapped atoms), quantum dots, quantum optical cavities, rf superconducting quantum interference devices (SQUIDs) and nitrogen-vacancy (NV) defects on diamond. Some are important simply as a benchmark to evaluate the quality of the implementations offered by chemistry, whereas others might be combined with lanthanide complexes to produce heterogeneous quantum information processors which combine the advantages of different hardware types. [Pg.45]

Here we will focus on electron spin qubits and thus we will not be discussing NMR quantum computing, where molecules played a key role in the early successes of quantum information processing. [Pg.51]

Nielsen, M.A. and Chuang, I.L. (2000) Quantum Computation and Quantum Information, Cambridge University, Cambridge. [Pg.57]

Ardavan, A. and Blundell, S.J. (2009) Storing quantum information in chemically engineered nanoscale magnets. /. Mater. Chem., 19, 1754. [Pg.59]

Quantum Computation and Quantum Information, Cambridge University Press. [Pg.216]

The main objective of the Workshop was to bring together people working in areas of Fundamental physics relating to Quantum Field Theory, Finite Temperature Field theory and their applications to problems in particle physics, phase transitions and overlap regions with the areas of Quantum Chaos. The other important area is related to aspects of Non-Linear Dynamics which has been considered with the topic of chaology. The applications of such techniques are to mesoscopic systems, nanostructures, quantum information, particle physics and cosmology. All this forms a very rich area to review critically and then find aspects that still need careful consideration with possible new developments to find appropriate solutions. [Pg.6]

To illustrate an application of nonlinear quantum dynamics, we now consider real-time control of quantum dynamical systems. Feedback control is essential for the operation of complex engineered systems, such as aircraft and industrial plants. As active manipulation and engineering of quantum systems becomes routine, quantum feedback control is expected to play a key role in applications such as precision measurement and quantum information processing. The primary difference between the quantum and classical situations, aside from dynamical differences, is the active nature of quantum measurements. As an example, in classical theory the more information one extracts from a system, the better one is potentially able to control it, but, due to backaction, this no longer holds true quantum mechanically. [Pg.63]

Quantum dynamics on graphs became an issue also in the context of quantum information. Aharonov et.al (1993) pointed out that a random quantum walk on one dimensional chains can be faster than the corresponding classical random walk. Since then, a whole field has emerged dealing with quantum effects on graphs with properties superiour to the corresponding classical operations. For an introductory overview and further references, see Kempe (2003). [Pg.79]

Bouwmeester, D. Ekert, A. Zeilinger, A. Eds. The Physics of Quantum Information Springer Verlag Berlin, 2001. [Pg.713]

C. Macchiavello, G. M. Palma, and A. Zeilinger, Quantum Computation and Quantum Information Theory, World Scientific, 2000. [Pg.532]

Legeza, O., Solyom, J. Optimizing the density-matrix renormalization group method using quantum information entropy. Phys. Rev. B 2003, 68(19), 195116. [Pg.161]

Rissler, J., Noack, R.M., White, S.R. Measuring orbital interaction using quantum information theory. Chem. Phys. 2006, 323(2-3), 519. [Pg.161]

Entanglement is the main resource of quantum information processing, without which quantum computation will not be faster than its classical counterpart [8] and quantum communication protocols will not work [113-115]. Moreover, as shown... [Pg.208]


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