Simulation of air flow accurately is essential for weather forecasts
EBetsat / ESA
Kuantum inspired algorithms can simulate turbulent fluid to a classic computer much faster than existing tools. This can improve Weather forecast And increase the efficiency of industrial processes, say researchers.
Liquid or air turbulence involves a number of injections that converts specific simulations so chaotic complex The strongest computers. Quantum compartments have ordered improvement issues, but also the most advanced machines today are also more guilty of demonstration.
These turbulence simulations can be simplified, replacing specific calculations with probability. But scientists leave scientists with computers in a compelling way to solve this.
Nikita Gourianov The University of Oxford and his colleagues have now developed a new approach to represent the probability of turbulence that uses a quantum algorithm called a computed tensor network.
The voltage networks were created in physics and the ordinary use used in the early 2000s. Today, they offer a promising way to get much performance from classic computers, before useful quantum machines are available.
“Algorithms and way of thinking comes from the world of quantum simulation, and these algorithms are very close to what computers do,” says Gourianovek. “We’re seeing quite sharp, both in theory and practice.”
In a few hours, the team took a simulation in a laptop that took a few days earlier in a supercomputer. The new algorithm saw the reduction of 1000 folds in the processor application, and a million reduction memory will be required. While this simulation was a simple test, there are equal problems with a larger scale, behind weather forecasts, aerodynamic analysis of aircraft and analysis of industrial chemical processes.
The problem of turbulence, with data in five dimensions, is very difficult without using tensors, says Gunnar Möller Kent University, United Kingdom. “Computationally, it’s a nightmare,” he noted. “Maybe you can do it in limited cases, when you’re a supercomputer and are happy when you are running a month or two.”
Voltage networks, in force, reducing data required by a simulation, reducing the necessary computational power to run. The amount of data removed and the nature can be carefully monitored in the level of accuracy marked up or down.
These mathematical tools have already been used in the game of cat and mouse, between quantum and classical computer scientists. Google announced that in 2019 a quantum processor called Sycamore “Quantum Supremacy” – A quantum computer can complete a task that would be impossible for all tasks and objectives.
However, later, the voltage network that simulates the same problem in large group processing units for 14 seconds during 14 seconds. Weakening the previous claim of Google. Since Google Forward again with his new quantum willow machine.
Large quantum computers and failures, once created, the tensors can be much larger than computers than computers, but Möller said.
“With a laptop, the authors of this paper could be possible in a superordiner, because they have a more passionate algorithm,” he said. “If you use this algorithm in a supercomputer, you can go farther than you can use a computational vision. It has a huge benefit, and I don’t have to wait another 10 years for the perfect quantum computer.”
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