Graphene conducts electricity ten times better than expected
nature.com
nature.com
(Of course, I qualified my argument by saying "in the future." So maybe you are right that computational research isn't yet a third pillar of research. But I do think it will become one, as our simulation tools incrementally increase in power.)
I like the implication that there is less difference between photons and fermions than we think.
From the looks of it, they've just found that the mechanism that produces the drift velocity of electrons in normal wires has no relationship to the way electrons travel in these nanoribbons of graphene...
Their models probably used or were related (or based on) bounce and repel type algorithms that do not apply fully to this very special edge-case scenario.
In fiber optic cables photons travel close to the speed of light (50% of it or more) by reflection and the waveguide effect.
In normal metal wires electrons travel something like a few mm or cm per second, minute, or even hour (averaged out) - because they are all bouncing against one another.
In these nano-wires / ribbons there is little electron bounce, and some wave-guide like travel channels present... It has properties of both metal wires and fiberoptics... But the electrons are still typical electrons.
At the end of the day, there is still a fundamental difference between packets of energy (that some say are nothing more than vibrations traveling through whatever dimension) and elementary particles.
Sad, but probably true.
Take a 10 ft plastic pipe of the same diameter as ping-pong balls.
Fill this pipe from start to end sequentially and fully with ping-pong balls.
Now stick your finger in one end.
While you only moved the ping-pong balls a few inches, almost immediately a ping-pong ball will come out the other end... The "signal" "traveled" at a much faster speed than the actual ping-pongs.
To visualize electrical signals, imagine a tube completely full of balls. When you push a new ball into one end, a different ball comes out the other. The effect of adding the ball is seen very quickly (i.e. a change in the field), but the speed the ball moves through the tube (i.e. how fast electrons move through the conductor) is quite different.
I don't get why you see less difference. Fermions can have balistic trajectories too, that's not news.
If experimental data does confirm the theory, you need a better experiment!
Even if we do see somewhat big gains initially, it will probably have the price point to match, like we saw with SSDs, which were ~3x faster than HDD on average, but 10x more expensive per GB.
10-15 years.
Besides that I really look for the future of the tech :)
I really hope at some point it will actually become a reality. The skeptics at the bottom of article dodnt believe graphene will work for digital applications.
Unfortunately, we get attached to certain big names and lay all our hopes and dreams on their backs, and they so often don't work out. We are only human, and we can't follow the whole of all technology that lies on the horizon, but even if the big names don't work out, there's still a lot of promise in this area, and I get excited by the research.
In light of that, true quantum computing may be farther off than you're expecting.
[1] http://dwave.wordpress.com/2014/02/04/the-recent-how-quantum...
Graphene based cpus? Light based optical cpus Thz? 3d stackable cpus?
Fully light-based CPUs won't happen for a while, but we are getting to the point where having some optical components to manage long-distance communication (within the chip, and off-chip to memory) begins to get closer to feasible. Think less than 10 years.
Graphene based cpus are not near at all, as we are currently at the point where we are merely studying the qualities of the material. The time from that to mass production is measured in decades.
The principle of Crossbar RRAM is very fantastic indeed -- take the ideas of RRAM worked on by other companies and develop an implementation of them that works on current fabs, tools and materials. However, a lot can go wrong at nano scale manufacturing, and a lot of the things they are doing have not been characterized before by anyone else. Frankly, we won't know how manufacturable it really is before it's in mass production.
Of the next-gen memory options, RRAM is the least disruptive of current systems. This is because it's properties are sufficiently similar to flash (specifically, it needs wear leveling, preventing use as universal ram) that if it wins, it will be used exactly as flash is used, only being denser and faster.