This AI Tool Looks At Quantum System And Lets Out Predictions

Recently, researchers from Russia have successfully adapted a new method to predict the behavior of the quantum systems that might surprise most people. Only by observing the network structure of the quantum system, it can forecast then independently offer feasible solutions which can bring quantum advantage - the superiority of quantum computers compared to classical ones. 

In a report from MIPT, Alexey Melnikov, who is a researcher from ITMO University, gave an explanation about the blurred connection between quantum and classical behaviors. As provided by him, their study’s characteristic feature is a special-purpose computer vision, which is able to detect the fine line in the network space. 

Comparing the two different computer system, while classical computing operates by bits which have a definite value of either 0 or 1, the quantum system is based on qubits which can exist as both values simultaneously due to superposition. Its ability to analyze data on a subatomic level surpasses the conventional system in terms of speed, for instance. 

Because the quantum’s development is expensive, researchers usually utilize quantum walks to test the developed network’s ability to create a quantum advantage. As explained in the researchers’ paper, quantum walks are the spotlights of current quantum tech. 

In particular, it graphically visualizes the traveling in a particular quantum network, which is also known as the quantum circuit’s foundation. The speed of these particles is compared to those in classical computing which enables scientists to give the description of the network’s quantum advantage. 

In order to perform this task, an artificial intelligence device has been programmed by experts. It can analyze the graphs of quantum walks and independently make predictions of the possibility to have the quantum advantage of a quantum computer. The tool operates based on the proven ability of quantum walks algorithms in quantum computer development. 

According to Leonid Fedichkin, an expert from the Moscow Institute of Physics and Technology (MIPT), they have been successful in enabling the computer to make the auto-predictions of such a complex network’s possibility to have aa quantum advantage.