Shi helped to open a simpler way to create quantum confusion

< IMG SRC = "/Uploads/Blogs/08/A2/IB-FRF5LPAQC_2573D739.jpg" Alt = "Artificial Intelligence helped to open a simpler way of creating quantum intricate"/> < P > Scientists have used artificial intelligence to find a new, easier way of forming quantum confusion between subatomic particles. This can significantly simplify the development of quantum technologies, including quantum computer; RSQUO; RSQUO; RSETS AND PROTECTED COMMUNICATION NETWORKS, SPACE writes.

~ < h2 class = "" > What is quantum confusion ?0 ~/h2 > < p >Confusion & mdash; One of the fundamental phenomena of quantum mechanics, when two particles can be shared by quantum properties, regardless of the distance between them. However, the creation of such a SBR; Rsquo; Land remained a difficult task for scientists because it required complex experimental settings.

~ < H2 class = "" > How managed to simplify the opening of quantum tangled ?0 ~/h2 > < P > Researchers used artificial intelligence Pytheus, designed specifically to optimize quantum-optic experiments. Initially, the team planned to recreate well -known protocols for creating quantum confusion, but & nbsp; a neural network proposed & nbsp; a simpler method that surprised scientists.

~ ~ < P > The new approach of confusion arises because of the indispensable ways of photons. If the particles come from several sources and it is impossible to determine which one can form a confusing pair without traditional Bella. Despite skepticism, the team checked this assumption experimentally and received the expected result.

< Em > Artificial intelligence actually studied the physics of the process and suggested the optimal solution. & Amp; nbsp; 0 > 62 ~ Sophia Vallecors, physicist CERN, which did not participate in the study < P > This method can significantly simplify & nbsp; creation of quantum networks & nbsp; for safe transmission of information and make quantum technologies more accessible. Regarding the scalability of the method, the impact of the surrounding noise and the instability of devices can complicate its practical application.