Quantum Leap for AI: Brain-Like Processing Now Possible on Quantum Computers
Transformative AI Design Powers Up on Quantum Hardware
Deepak
Few advances in computer science have made it as big in a short amount of time as the AI system known as Transformers. A deep learning platform – machine models driven by networks in the brain – Transformer was first proposed by Google researchers in 2017. Now, seven years later, Transformer, which enables chatbots like ChatGPT power and enables continuous AI to give small answers to users . They are a force of excitement. But what if this already impressive AI system could be applied to quantum computing?
This sounds like a pipe dream of the future, but curiosity and a relentless desire to push computing to new limits led quantum computing researchers to ask just that question and a recent study published in Quantum used basic hardware to verify whether the first quantum converters were indeed viable It has been shown. This suggests the possibility – at least in theory – of highly sophisticated quantum AI integration to solve important problems in areas such as encryption and chemistry
Revisionist logic: The brains behind crime
The great power of a converter lies in its ability to recognize which parts of its input are important relative to others, and how tightly those parts are connected Take the sentence "He eats a green apple." The tenant can choose keywords: "roasting," "green," and "apple." Then, based on patterns he learns from his training data, he decides that the act of "eating" has nothing to do with the color "green" but more with the object "exercising." Computer scientists call this ability the "attention mechanism, . " ie. important words in a sentence, pixels in an image, or a sequence of proteins Most of this attentional focus mimics how humans process language, a task that second nature to most kids but has been experimenting with computers for a long time until ChatGPT and its ilk came along.
Quantum gain: A new frontier for AI?
Currently, measuring devices run on supercomputers with powerful processors, but these still rely on basic binary bits with a value of 0 or 1. Physicists call it that these "classical" devices, which include everything from smartphones to PCs Quantum Hardware, on the other hand , uses sophisticated features of quantum mechanics to solve problems impractical for classical computers . . . . This is because quantum bits, or qubits, can exist as 0s, 1s, or a spectrum of possible states in between. Have developers used qubits to create better ideas? University of Technology Sydney quantum computing researcher Christopher Ferry, who is not involved in the new study, warns: “We shouldn’t expect quantum computing to be the silver bullet of computing, but we won’t know until we try. ” " so far
