“Ligo is a great thing that thousands of people have been thinking deeply for 40 years,” said Aephraim Steinberg, an expert in quantum optics at the University of Toronto. “They thought about everything they could have and everything new [the AI] I come up with a demonstration that thousands of people did not do it. “
Although AI has not yet led to up-to-date discoveries in physics, it becomes a powerful tool in the whole field. In addition to helping researchers in the design of experiments, it can find non -trivial patterns in intricate data. For example, AI algorithms collected the symmetries of the nature from the data collected on the huge Hadron bumper in Switzerland. These symmetries are not up-to-date – they were crucial for Einstein’s relativity – but the discovery of AI is proof of the principle for what is to come. Physicists also used artificial intelligence to find a up-to-date equation to describe the lump of the imperceptible murky matter of the universe. “People can start learning from these solutions,” said Adhikari.
From yourself, but together
In classical physics describing our daily world, objects have well -defined properties that are independent of attempts to measure these properties: for example, the billiard ball has a specific position and rush at a given moment.
This is not the case in the quantum world. The quantum object is described by a mathematical being called quantum state. It’s best to employ the state to calculate the likelihood that the object will, say, in a specific place when you are looking for it.
What’s more, two (or more) quantum facilities may have one quantum. Take the featherlight made of photons. These photons can be generated in pairs that are “entangled”, which means that two photons have one common quantum state, even if they fly. After measuring one of the two photons, the result seems to immediately determine the properties of the other – now distant – Photon.
For decades, physicists assumed that entanglement required quantum objects to tidy up in the same place. But in the early 1990s Anton Zeilingerwhich later Receive a Nobel Prize in the field of physics In the case of entanglement studies, he showed that this was not always true. He and his colleagues proposed an experiment that began with two unrelated pairs of tangled photons. Fotons A and B were entangled with you, just like Fotons C and D. Then the researchers developed a clever experimental project Made of crystals, beam divisions and detectors that would work on photons B and C – one photon from each of the two tangled pairs. Thanks to the sequence of surgery, photons B and C are detected and destroyed, but as a product of partner A and D molecules that have not previously influenced, they become entangled. This is called the exchange of entanglement, which is currently an critical element of quantum technology
This was the state of affairs in 2021, when the Krenn team began to design up-to-date experiments with the support of the software, which Pytheus called – Python of the programming language and Theus for Theseus, after the Greek hero who killed the mythical minotaur. The team represented optical experiments using mathematical structures called charts, which consist of nodes connected by lines called edges. The nodes and edges represented various aspects of the experiment, such as the division of beam, photon paths or whether two photons were affected.