Change the development of quantum states through artificial intelligence AI

When researchers experiment on quantum computers, they are basically equivalent to groping in the dark. After all, the current computer is too slow to verify the results of any quantum experiments. But a team from the Flatiron InsTItute in New York believes that this gap can be filled by artificial intelligence (AI). The team developed a method that was believed to be able to change our measurement of quantum states, and in order to prove that they specifically conducted a simulation experiment.

It is understood that this method involves creating a software tool that uses neural networks to predict the potential locations of qubits.

Change the development of quantum states through artificial intelligence AI

Ordinary computers can only simulate a quantum system by ordinary bits, that is, "0" or "1", and the quantum bits can simultaneously appear in two superposition states.

The simulation of about 200 qubits is to use 1&TImes; Millions & TImes; trillions of teraflops (yes, you are not mistaken) - this is obviously not a simple matter.

Qubits are not individually warned, but rather entangled with other qubits to produce more permutations, greatly increasing the number of experiments necessary.

The good news is that the new method of the Flatiron team used machine learning to do the tough work – which allowed a normal computer to run algorithms instead of a full 1-to-1 simulation.

This means that simulations for an 8-qubit system can be done in just a hundred sorts, rather than millions. In addition, the new method can also be applied to larger quantum systems.

In short, the AI ​​algorithm developed by the research team can efficiently calibrate a quantum system. The software supported by the neural network only collects small data samples to run the simulation and translates the information into what humans can understand.

Once perfect, this type of machine learning application can also play a role in areas other than experimental simulation. Paper coauthor Giuseppe Carleo said in an interview with Eureka Alert:

We can develop the corresponding method in other environments. Maybe a future self-driving car can also run on a quantum machine?

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