Accelerant

BRT, as my loyal readers know, has written copiously about AI and the implications this profoundly powerful tech will have on mankind. Now, there is a new way to radically accelerate the ability for machines to learn, a most interesting prospect as we move further into the 21st century.

For the first time, physicists have performed machine learning on a photonic quantum computer, demonstrating that quantum computers may be able to exponentially speed up the rate at which certain machine learning tasks are performed—in some cases, reducing the time from hundreds of thousands of years to mere seconds. The new method takes advantage of quantum entanglement, in which two or more objects are so strongly related that paradoxical effects often arise since a measurement on one object instantaneously affects the other. Here, quantum entanglement provides a very fast way to classify vectors into one of two categories, a task that is at the core of machine learning.

Makes one think, doesn't it?