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Toshiba has a new algorithm that runs circles around quantum computers - using STANDARD HARWARE!
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MummyChunk
Mar 30, 2020, 5:54:17 PM3/30/20
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They will definitely make some money in the financial industry if this
is not vapor....
From TS
*****
Some of the biggest problems that need solving in the enterprise world
require sifting through vast amounts of data and finding the best
possible solution given a number of factors and requirements, some of
which are at times unknown. For years, quantum computing has been
touted as the most promising jump in computational speed for certain
kind of problems, but Toshiba says revisiting classical algorithms
helped it develop a new one that can leverage existing silicon-based
hardware to get a faster result.
Toshiba's announcement this week claims a new algorithm it's been
perfecting for years is capable of analyzing market data much more
quickly and efficiently than those used in some of the world's fastest
supercomputers.
The algorithm is called the "Simulated Bifurcation
Algorithm," and is supposedly good enough to be used in finding
accurate approximate solutions for large-scale combinatorial
optimization problems. In simpler terms, it can come up with a
solution out of many possible ones for a particularly complex
problem.
According to its inventor, Hayato Goto, it draws inspiration from the
way quantum computers can efficiently comb through many possibilities.
Work on SBA started in 2015, and Goto noticed that adding new inputs
to a complex system with 100,000 variables makes it easy to solve it
in a matter of seconds with a relatively small computational cost.
This essentially means that Toshiba's new algorithm could be used on
standard desktop computers. To give you an idea how important this
development is, Toshiba demonstrated last year that SBA can get highly
accurate solutions for an optimization problem with 2,000 connected
variables in 50 microseconds, or 10 times faster than laser-based
quantum computers.
SBA is also highly scalable, meaning it can be made to work on
clusters of CPUs or FPGAs, all thanks to the contributions of Kosuke
Tatsumura, another one of Toshiba's senior researchers that
specializes in semiconductors.
Companies like Microsoft, Google, IBM, and many others are racing to
be the first with a truly viable quantum commercial system, but so far
their approaches have produced limited results that live inside their
labs.
Meanwhile, scientists like Goto and Kosuke are going back to the roots
by exploring ways to improve on classical algorithms. Toshiba hopes to
use SBA to optimize financial operations like currency trading and
rapid-fire portfolio adjustments, but this could very well be used to
calculate efficient routes for delivery services and molecular
precision drug development.
is not vapor....
From TS
*****
Some of the biggest problems that need solving in the enterprise world
require sifting through vast amounts of data and finding the best
possible solution given a number of factors and requirements, some of
which are at times unknown. For years, quantum computing has been
touted as the most promising jump in computational speed for certain
kind of problems, but Toshiba says revisiting classical algorithms
helped it develop a new one that can leverage existing silicon-based
hardware to get a faster result.
Toshiba's announcement this week claims a new algorithm it's been
perfecting for years is capable of analyzing market data much more
quickly and efficiently than those used in some of the world's fastest
supercomputers.
The algorithm is called the "Simulated Bifurcation
Algorithm," and is supposedly good enough to be used in finding
accurate approximate solutions for large-scale combinatorial
optimization problems. In simpler terms, it can come up with a
solution out of many possible ones for a particularly complex
problem.
According to its inventor, Hayato Goto, it draws inspiration from the
way quantum computers can efficiently comb through many possibilities.
Work on SBA started in 2015, and Goto noticed that adding new inputs
to a complex system with 100,000 variables makes it easy to solve it
in a matter of seconds with a relatively small computational cost.
This essentially means that Toshiba's new algorithm could be used on
standard desktop computers. To give you an idea how important this
development is, Toshiba demonstrated last year that SBA can get highly
accurate solutions for an optimization problem with 2,000 connected
variables in 50 microseconds, or 10 times faster than laser-based
quantum computers.
SBA is also highly scalable, meaning it can be made to work on
clusters of CPUs or FPGAs, all thanks to the contributions of Kosuke
Tatsumura, another one of Toshiba's senior researchers that
specializes in semiconductors.
Companies like Microsoft, Google, IBM, and many others are racing to
be the first with a truly viable quantum commercial system, but so far
their approaches have produced limited results that live inside their
labs.
Meanwhile, scientists like Goto and Kosuke are going back to the roots
by exploring ways to improve on classical algorithms. Toshiba hopes to
use SBA to optimize financial operations like currency trading and
rapid-fire portfolio adjustments, but this could very well be used to
calculate efficient routes for delivery services and molecular
precision drug development.
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