IBM Scientists Demonstrate World's Fastest Graphene Transistor
February 5, 2010
(PhysOrg.com) -- In a just-published paper in the magazine Science, IBM researchers demonstrated a radio-frequency graphene transistor with the highest cut-off frequency achieved so far for any graphene device - 100 billion cycles/second (100 GigaHertz).
This accomplishment is a key milestone for the Carbon Electronics for RF Applications (CERA) program funded by DARPA, in an effort to develop next-generation communication devices.
The high frequency record was achieved using wafer-scale, epitaxially grown graphene using processing technology compatible to that used in advanced silicon device fabrication.
"A key advantage of graphene lies in the very high speeds in which electrons propagate, which is essential for achieving high-speed, high-performance next generation transistors," said Dr. T.C. Chen, vice president, Science and Technology, IBM Research. "The breakthrough we are announcing demonstrates clearly that graphene can be utilized to produce high performance devices and integrated circuits."
Graphene is a single atom-thick layer of carbon atoms bonded in a hexagonal honeycomb-like arrangement. This two-dimensional form of carbon has unique electrical, optical, mechanical and thermal properties and its technological applications are being explored intensely.
Uniform and high-quality graphene wafers were synthesized by thermal decomposition of a silicon carbide (SiC) substrate. The graphene transistor itself utilized a metal top-gate architecture and a novel gate insulator stack involving a polymer and a high dielectric constant oxide. The gate length was modest, 240 nanometers, leaving plenty of space for further optimization of its performance by scaling down the gate length.
It is noteworthy that the frequency performance of the graphene device already exceeds the cut-off frequency of state-of-the-art silicon transistors of the same gate length (~ 40 GigaHertz). Similar performance was obtained from devices based on graphene obtained from natural graphite, proving that high performance can be obtained from graphene of different origins. Previously, the team had demonstrated graphene transistors with a cut-off frequency of 26 GigaHertz using graphene flakes extracted from natural graphite.
More information: Carbon Based Chips May One Day Replace Silicon Transistors: http://www.physorg … 4420861.html
Provided by IBM
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Feb 05, 2010
Rank: 2.7 / 5 (3)
...ok...who needs quantum computers?!?
Feb 05, 2010
Rank: 3.8 / 5 (4)
Remember when the 486 was way faster than anything we needed? Now my 2.4 GHz computer is SOOOOOO slow!
Feb 05, 2010
Rank: 4.5 / 5 (2)
What a performance improvement. In 1995 100MHz was good, now is 2010 a 3GHz Quad core is good but to have 100GHz! It really looks as though Moore's Law really is starting to accelerate to infinity...
I love technology!
Feb 05, 2010
Rank: 4.8 / 5 (5)
Feb 05, 2010
Rank: 5 / 5 (4)
Feb 05, 2010
Rank: 4.5 / 5 (4)
Feb 05, 2010
Rank: 2.2 / 5 (5)
Feb 05, 2010
Rank: not rated yet
I wonder what is the tensil strengh of a 1 atom thick flake???
Feb 05, 2010
Rank: 1.3 / 5 (4)
Yeah, I don't know why every new version of Windows seems to require about 10 times more RAM than the previous version, even though it doesn't even "do" anything new.
Feb 05, 2010
Rank: 4.5 / 5 (4)
Don't confuse core clocks with transistor speeds. A CPU's core clock is determined by the execution time of the CPU's slowest pipeline stage. Each pipeline stage consists of thousands of transistors, many of them connected in series. Thus, the overall clock speed is governed by a collective performance of the entire transistor chain, rather than any single transistor.
Even with 100 GHz transistors, core clock speeds probably won't exceed 10 GHz or so (e.g. if the longest pipeline stage is 10 transistors deep.)
And this is before even considering other slowdowns, due to "cable effects" (capacitance and inductance) of the interconnects between transistors (i.e. the "wires" in the circuit.) Light-based circuits may help somewhat with long-distance connections, but not over shorter distances. Plus there will be delays in optical/electric trans-modulation...
Feb 05, 2010
Rank: 2 / 5 (1)
Feb 05, 2010
Rank: 2.2 / 5 (5)
Feb 05, 2010
Rank: 2.5 / 5 (4)
Ideally, everything would be written at the lowest level, but it takes a one in a million genius to do that even for programs that would be relatively small for our modern standards.
Creating this bulletin board from scratch in php or a similar scripting language is a very large project for any one person or even small group of people.
Making this thing in machine code directly, without compilers and interpreters, would be well...completely unfathomable...It's hard enough to comprehend in a "fifth generation" language...
Feb 05, 2010
Rank: 3 / 5 (1)
Feb 06, 2010
Rank: 3.7 / 5 (3)
Quantum computers can solve certain classes of problems much faster than today's computers. In fact, there is no polynomial expression you can write that is larger than the potential speedup from quantum computers. Ten to the one-hundredth power (a google) is a polynomial, so is ten to the google.
You might think that this is hyperbole, and no one would want to solve such a problem. Wrong! Even for very simple computer programs, the question of whether they will halt for any input may be in this class. Technically the general halting problem is unsolvable. But it is possible to write programs that are not expected to crash. Proving that though, in any reasonable time for a large program such as an operating system, will take a quantum computer. (And, yes you want to avoid livelocks as well as deadlocks and other types of crashes. Fine. The problem is that theorem proving for non-toy programs takes way too long.)
Feb 06, 2010
Rank: 4 / 5 (2)
Feb 06, 2010
Rank: 2.5 / 5 (2)
Feb 06, 2010
Rank: 2 / 5 (1)
So far, I have yet to see a "quantum algorithm" that gives a truly reliable computation.
You see these articles talking about "well, the result has a 90% chance of being right," and things like this. Further, most of the algorithms I've seen amount to gimmick algorithms that only work if you already know the output, and only on a specialized machine designed to run just that algorithm...which is largely useless for practical computing purposes. (see next post I address this further.)
In our modern electronic computers, the result of a computation is always 100% correct, and the only source of error is either from bad human input or a mechanical malfunction(something broke down.)
The other thing is, the principle of superposition is not "magic". No matter how many quantum states a particle has, you still need detectors to "read" those states without influencing the other state(s) the particle has, else you destroy your data every time you check your data.
Feb 06, 2010
Rank: 2 / 5 (1)
Suppose we have a "Quantum Server".
We might place different types of quantum processors on the "motherboard" for different purposes, and then the CPU queries a different type of processor depending on the algorithm or portion of an algorithm it needs computed...
Even this would leave the computer only able to solve problems which can be reduced to a specific set of algorithms.
Next, in terms of data storage (RAM and ROM,) a "Qubit" is only better than a "bit" if the space required for the data storage itself and the detectors and logic to read it remain smaller than the space required for a normal transistor or magnetic dot on a disk.
While in theory, "Base 3" from Qubits could allow exponentially more data storage per unit of space, this is of course only considering an "ideal" spintronic RAM or ROM device. A real device would have much space used by detectors to read and transmit data.
Feb 07, 2010
Rank: 5 / 5 (1)
The biggest benefit of quantum computing will be in simulating quantum systems - things like molecules, nanoparticles and biological processes. It will take time for quantum computers to be powerful enough to do this, but then, ENIAC wouldn't be much use doing today's CAD.
Feb 08, 2010
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This article adds support for graphene as worthy of further research is all. All they succeeded in doing was proving that it would be possible and likely efficient to make transistors on graphene. That's a good reason to invest in science to study it further, but a very long ways from sitting on your desktop.
Feb 08, 2010
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You need to better keep up with recent developments =)
Check this out:
http://www.physor...407.html
Feb 09, 2010
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And lets say you are AMD and don;t use a frontside bus -- you still need RAM to be aviable at close to 40Ghz right???
Feb 09, 2010
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Feb 09, 2010
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Feb 10, 2010
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