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Institution

IBM

CompanyArmonk, New York, United States
About: IBM is a company organization based out in Armonk, New York, United States. It is known for research contribution in the topics: Layer (electronics) & Signal. The organization has 134567 authors who have published 253905 publications receiving 7458795 citations. The organization is also known as: International Business Machines Corporation & Big Blue.


Papers
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Book ChapterDOI
11 May 1997
TL;DR: A new multi-authority secret-ballot election scheme that guarantees privacy, universal verifiability, and robustness is presented, and is the first scheme for which the performance is optimal in the sense that time and communication complexity is minimal both for the individual voters and the authorities.
Abstract: In this paper we present a new multi-authority secret-ballot election scheme that guarantees privacy, universal verifiability, and robustness. It is the first scheme for which the performance is optimal in the sense that time and communication complexity is minimal both for the individual voters and the authorities. An interesting property of the scheme is that the time and communication complexity for the voter is independent of the number of authorities. A voter simply posts a single encrypted message accompanied by a compact proof that it contains a valid vote. Our result is complementary to the result by Cramer, Franklin, Schoenmakers, and Yung in the sense that in their scheme the work for voters is linear in the number of authorities but can be instantiated to yield information-theoretic privacy, while in our scheme the voter's effort is independent of the number of authorities but always provides computational privacy-protection. We will also point out that the majority of proposed voting schemes provide computational privacy only (often without even considering the lack of information-theoretic privacy), and that our new scheme is by far superior to those schemes.

897 citations

Journal ArticleDOI
07 Apr 2011-Nature
TL;DR: The systematic study of top-gated CVD-graphene r.f. transistors for radio-frequency applications and the cut-off frequency was found to scale as 1/(gate length), providing a much larger operation window than is available for conventional devices.
Abstract: Owing to its high carrier mobility and saturation velocity, graphene has attracted enormous attention in recent years1, 2, 3, 4, 5. In particular, high-performance graphene transistors for radio-frequency (r.f.) applications are of great interest6, 7, 8, 9, 10, 11, 12, 13. Synthesis of large-scale graphene sheets of high quality and at low cost has been demonstrated using chemical vapour deposition (CVD) methods14. However, very few studies have been performed on the scaling behaviour of transistors made from CVD graphene for r.f. applications, which hold great potential for commercialization. Here we report the systematic study of top-gated CVD-graphene r.f. transistors with gate lengths scaled down to 40 nm, the shortest gate length demonstrated on graphene r.f. devices. The CVD graphene was grown on copper film and transferred to a wafer of diamond-like carbon. Cut-off frequencies as high as 155 GHz have been obtained for the 40-nm transistors, and the cut-off frequency was found to scale as 1/(gate length). Furthermore, we studied graphene r.f. transistors at cryogenic temperatures. Unlike conventional semiconductor devices where low-temperature performance is hampered by carrier freeze-out effects, the r.f. performance of our graphene devices exhibits little temperature dependence down to 4.3 K, providing a much larger operation window than is available for conventional devices.

897 citations

Proceedings ArticleDOI
25 Jun 2006
TL;DR: A tree data structure for fast nearest neighbor operations in general n-point metric spaces (where the data set consists of n points) that shows speedups over the brute force search varying between one and several orders of magnitude on natural machine learning datasets.
Abstract: We present a tree data structure for fast nearest neighbor operations in general n-point metric spaces (where the data set consists of n points). The data structure requires O(n) space regardless of the metric's structure yet maintains all performance properties of a navigating net (Krauthgamer & Lee, 2004b). If the point set has a bounded expansion constant c, which is a measure of the intrinsic dimensionality, as defined in (Karger & Ruhl, 2002), the cover tree data structure can be constructed in O (c6n log n) time. Furthermore, nearest neighbor queries require time only logarithmic in n, in particular O (c12 log n) time. Our experimental results show speedups over the brute force search varying between one and several orders of magnitude on natural machine learning datasets.

896 citations

Journal ArticleDOI
10 Jun 2011-Science
TL;DR: A wafer-scale graphene circuit was demonstrated in which all circuit components, including graphene field-effect transistor and inductors, were monolithically integrated on a single silicon carbide wafer.
Abstract: A wafer-scale graphene circuit was demonstrated in which all circuit components, including graphene field-effect transistor and inductors, were monolithically integrated on a single silicon carbide wafer. The integrated circuit operates as a broadband radio-frequency mixer at frequencies up to 10 gigahertz. These graphene circuits exhibit outstanding thermal stability with little reduction in performance (less than 1 decibel) between 300 and 400 kelvin. These results open up possibilities of achieving practical graphene technology with more complex functionality and performance.

896 citations

Journal ArticleDOI
TL;DR: The theory is shown to be in excellent agreement with numerical simulations and explains many features of experiments on small wires and rings.
Abstract: The conductance of any metallic sample is predicted to fluctuate as a function of chemical potential or magnetic field by an amount of order $\frac{{e}^{2}}{h}(\ensuremath{\simeq}4\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}5}{\ensuremath{\Omega}}^{\ensuremath{-}1})$ independent of sample size and degree of disorder as long as the temperature is low enough so that $\mathrm{kT}$ and the inelastic-scattering rate are less than the inverse time to diffuse across the sample. The theory is shown to be in excellent agreement with numerical simulations and explains many features of experiments on small wires and rings.

895 citations


Authors

Showing all 134658 results

NameH-indexPapersCitations
Zhong Lin Wang2452529259003
Anil K. Jain1831016192151
Hyun-Chul Kim1764076183227
Rodney S. Ruoff164666194902
Tobin J. Marks1591621111604
Jean M. J. Fréchet15472690295
Albert-László Barabási152438200119
György Buzsáki15044696433
Stanislas Dehaene14945686539
Philip S. Yu1481914107374
James M. Tour14385991364
Thomas P. Russell141101280055
Naomi J. Halas14043582040
Steven G. Louie13777788794
Daphne Koller13536771073
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202330
2022137
20213,163
20206,336
20196,427
20186,278