Quantum reservoir computing — nine atoms forecasting weather

Well, they did it. They built a quantum AI in China, and it predicts the weather, and it outperforms classical AI. And by the end of this video, you're going to understand how it works. Hi, I'm Giga Chen. I do business in China, and I tell you guys about major breakthroughs like this before anyone else does. And more importantly, I want to wish every single one of you a very happy Easter. This just happened, like just happened, at the University of Science and Technology in Hefei, which is the capital of China's Anhui province. In the West, and really around the world, people think the key to improving AI is scaling. We want more. More layers, more nodes, more data centers, more power. But China did it with nine atoms, so it really wasn't about power. What was the secret then? It sounds rather poetic, but it was in learning to forget. But before we break that down, let's talk about the hardware. It was a quantum reservoir computer. To explain reservoir computing, I'll use a classic metaphor. Imagine pouring different colored dyes into a tank or reservoir of water. The water then swirls and mixes the colors together, creating complex patterns. But if you're smart about how you observe this, you can determine what colors went in and predict what's going to happen next. So the water is the reservoir, and it obviously doesn't need training. It just needs to be chaotic enough to create patterns. What you train is the readout. You can think of this as which ripples matter. Which…