【摘要2020.2.3.自由】◎劉宜庭
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.
量子人工智慧的時代來臨。人工智慧（AI）需要當前計算機（電腦）無法提供的處理能力，而量子電腦可以彌補不足之處。
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.
谷歌（Google）已宣布研發出全球首座真正的量子處理器，即53量子位元的「Sycamore」晶片。但國際商業機器公司（IBM）對此頗有微詞，因為IBM的超級電腦「Summit」現在還是全球最快的計算機。
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.
量子運算與人工智慧不僅是平行卻碰巧有交集的兩個研究領域。它們更像是天生一對。
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.
大數據是人工智慧與量子電腦的連接點。前者（人工智慧）需要透過大數據學習及改進。後者（量子電腦）能夠高效處理大數據。
Financial modeling, weather forecasting,
chemical simulations, and quantum cryptography are just a few examples of the
areas that quantum AI would revolutionize.
財政模型化、天氣預報、化學模擬、量子密碼學都只是量子人工智慧即將革新的其中一些領域。
新聞辭典
Artificial Intelligence（AI）：名詞，人工智慧。例句：An
AI system is an algorithm or software that runs on a computer.（人工智慧系統是指在電腦上運行的演算法或軟體。）
quantum：名詞，量子。例句：Quantum
Machine Learning (QML) is an emerging interdisciplinary research field.〔量子機器學習（QML）是新興的跨學科研究領域。〕
data：名詞，數據、資料。例句：The
more powerful the computer at digesting data, the more room for AI to grow.（電腦理解數據的能力愈強，人工智慧的進步空間愈大。）
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