Cloud Hosting

How can Quantum Physics empower AI?Photo by Anton Maksimov 5642.su on Unsplash

Quantum computers based on quantum physics can be much faster than normal computers, at least in solving some mathematical problems. How can the area of artificial intelligence, data science & Co. profit?

First lets look into what a quantum computer is and why they are faster:

A quantum computer uses qubits, which can exist in superposition and be entangled, to perform computations. By leveraging these quantum properties and applying quantum gates, quantum algorithms can solve certain problems more efficiently than classical computers. However, building practical and scalable quantum computers is still an active area of research, and many technical challenges need to be overcome before they can be widely deployed[1][2}.

So now to the question of how quantum computing could possibly enable faster processing times for AI models. In the future, quantum computers could solve certain problems much more efficiently than ordinary computers by exploiting the unique properties of the subatomic world.

Experts have been wondering whether these problems could also include machine learning. This is a form of artificial intelligence in which computers look for patterns in data and learn rules that they use to draw conclusions even in unknown situations[3]. So yes quantum computing can be much faster but is the answer exact enough?, since we have learned that this output is probabilistic so the output can be different although the input is the same. So the unanswered question is whether there are scenarios in which quantum machine learning offers an advantage over the classical variant?

Link:
Artificial Intelligence & Quantum Computing the Next Big Thing? - Medium