A new algorithm that quickly develops simulation can bring a
greater ability to use current and close short-term quantum computers, opening
the path for the launch applications beyond the limits of strict time
constraints that prevent the set of quantum calculations.
Quantum fast forwarding calculations are passed beyond the
limits of time limits imposed by the apartments that cars are hired today.
Source: DOE / LOS Alamos National Lab
"Quantum computers have a limited time towards perform
calculations before their useful quantum nature, which we call coherence,
decompose," said Andrew Sorganger Computer Science, Calculation and
Statistics of Science in the National Laboratory Alamos. "With the new
algorithm that we developed and checked, we can quickly move quantum modeling
to solve problems that were previously out of reach."
Computers built from quantum components known as cubes can
solve extremely complex problems that exceed the possibilities of even the most
powerful modern supercomputers. Applications include a faster analysis of large
data sets, drug development and unrestrained superconductors, call some
possibilities that can lead to large technological and scientific achievements
in the near future.
Recent experiments have demonstrated the potential of
quantum computers to solve problems in a matter of seconds that will require
the best normal Millennium computing to complete. However, the task still has
to ensure that the quantum computer can perform significant simulations to
broken quantum coherence.
"We use training machines to create a quantum chain
that can approach the large number of quantum simulation operations at the same
time," said Sorganger. "The result is a quantum simulator, which
replaces the sequence of calculations with one fast operation, which is
completed before the quantum coherence is broken."
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A quick option forwarding algorithm (VFF) developed by
researchers of Alamos is a hybrid that combines aspects of classical and
quantum calculations. Although well-known theorems eliminate the potential of
general overall experiments with absolute loyalty for arbitrary quantum
simulations, researchers are suitable for the problem through the portability
of small calculation errors for intermediate times to ensure useful, although
slightly imperfected.
In principle, the approach allows scientists to
quantize-imitate the system during the time. In practical expression of errors
that accumulate as modeling time, increase the limit of potential calculations.
However, the algorithm allows you to simulate the simulation far beyond the
limits that quantum computers can reach without the VFF algorithm.
The peculiarity of the process is that double qubits are
needed to quickly promote the calculation of what will form a quantum computer
that was quickly sent. For example, in a recently published, for example, the
research team confirmed its approach by implementing the VFF algorithm on a
computer with two Qubit to quickly forward the calculations to be performed in
Quit Quantum Simulation.
In further work, Alamo researchers plan to study the
boundaries of the VFG algorithm, increasing the number of fast moving quads,
and considering the extent to which they can promote fast systems.
