每日英語跟讀 Ep.806: About Technology - The Age of Quantum AI
The age of Quantum AI is upon us. AI needs processing power that current computers can’t provide but quantum computers could pick up the slack.
Google announced that it had built the world’s first real quantum processor, the 53-qubit Sycamore chip. It seems that IBM took it a little bit personally, maybe because Big Blue’s Summit is the world’s fastest calculating machine, for now.
Quantum computing and AI aren’t just two parallel research fields that happen to meet somewhere. They’re more like a match made in heaven.
Big Data is the nexus between AI and quantum computers. The former needs data and lots of it to learn and improve its intelligence. The latter are well-equipped to deal with huge swaths of data in a time-efficient manner.
Financial modeling, weather forecasting, chemical simulations, and quantum cryptography are just a few examples of the areas that quantum AI would revolutionize.
Evolution of circuits for machine learning 機器學習電路的進化
Artificial intelligence （AI） has allowed computers to solve problems that were previously thought to be beyond their capabilities. There is therefore great interest in developing specialized circuits that can complete AI calculations faster and with lower energy consumption than current devices.
Writing in Nature, Tao Chen et al. demonstrate an unconventional electrical circuit in silicon that can be evolved in situ to carry out basic machine-learning operations.
Previous work by some of the current authors produced isolated charge puddles from a collection of gold nanoparticles that were randomly deposited on a silicon surface, with insulating molecules between them. These puddles are at the heart of Chen and colleagues’ circuit design.
Source article: https://features.ltn.com.tw/english/article/paper/1354193 ; https://features.ltn.com.tw/english/article/paper/1349153