“Ligo is a huge thing that thousands of people have been thinking deeply about for 40 years,” said Aephraim Steinberg, a quantum optics expert at the University of Toronto. “They have thought of everything they could have, and anything new,” said Aephraim Steinberg, a quantum optics expert at the University of Toronto. [the AI] The proof presented is something that thousands of people cannot do. ”
Although AI has not yet led to new discoveries in physics, it has become a powerful tool for the entire field. In addition to helping researchers design experiments, it can also find non-trivial patterns in complex data. For example, AI algorithms collect natural symmetry from data collected by Swiss Large Hadron Collider. These symmetries are nothing new, they are the key to Einstein’s theory of relativity – but the discovery of AI is a proof of the principles that will happen in the future. Physicists also used AI to find a new equation to describe the agglomeration of dark matter that is invisible to the universe. “Humans can start learning from these solutions,” Adicari said.
Very different, but together
In classical physics describing our everyday world, objects have well-defined properties that are independent of attempts to measure these properties: for example, a billiard ball has a specific position and motivation at any given moment.
This is not the case in the quantum world. Quantum objects are described by mathematical entities called quantum states. The best way is to use state to calculate the probability of the object being at a certain position.
Additionally, two (or more) quantum objects can share a quantum state. It is made of photons. These photons can generate “entangled” pairs in pairs, meaning that two photons share a single joint quantum state even when flying. Once one of the two photons was measured, the results seem to instantly determine the properties of the other photon (now far away).
For decades, physicists believed that entanglement required quantum objects to start at the same location. But in the early 1990s, Anton Zeilinger, who later won the Nobel Prize in Physics for his entangled research, showed that this was not always the case. He and his colleagues proposed an experiment that began with two unrelated pairs of entangled photons. Photons A and B are entangled with each other, photons C and D. The researchers then designed a clever experimental design made of crystals, beam splitters and detectors that would work on photons B and C, one of the two tangled pairs. Through a series of operations, photons B and C are detected and destroyed, but as a product, partner particles A and D, which had not previously interacted, are entangled. This is called “entanglement exchange”, which is now an important part of quantum technology
That was the business of 2021, when Krenn’s team began designing new experiments with the help of what they called Python – for programming languages Python and Theus for Thuss, after Greek heroes killed the fabulous Minotaur. The team used a mathematical structure called a graph to represent an optical experiment, which consists of nodes connected by lines called edges. Nodes and edges represent different aspects of the experiment, such as beam cracks, the path of photons, or whether two photons interact.
