An international team of physicists has made an exciting discovery – deep-learning AI technology can accurately measure the amount of entanglement in a given system. Previous research has shown that the “quantumness” of a system can be described by a single number. In their groundbreaking paper published in the journal Science Advances, the group explains their technique and its success in real-world testing.
Over the past few years, scientists have been exploring entanglement and its potential applications. However, determining the degree of entanglement in a system has been a challenge, as measuring a quantum state destroys it.
To overcome this obstacle, physicists have developed quantum tomography, a technique that involves creating multiple copies of a state and measuring each one. While this method ensures 100% accuracy, it is time-consuming and computationally intensive. Another approach involves making educated guesses based on limited information about a system’s state, but this sacrifices precision and resource efficiency.
In this exciting new study, the research team introduced a novel solution to the problem: deep-learning neural networks. They used AI technology to enhance the precision of estimating the degree of entanglement in a system, rather than directly measuring it. The AI app was trained to analyze entangled quantum states using numerical data generated by another system. With each iteration, the AI app generated more accurate estimations of the degree of entanglement.
The researchers validated their approach by training it on a separate set of data obtained through simulations. They found that their method had error rates 10 times lower than traditional estimation methods. To further confirm their findings, they conducted real-world tests, which yielded the same level of improvement observed in the simulated data.
