与其像芯片制造商通常那样努力消除噪声，不如反其道而行之，制造一种天生具有随机性的芯片，因为注入可控的噪声可以让物理电路本身表现得像一个随机微分方程，从而计算出有用的量。

Thomas Ahle解释了Normal Computing热力学芯片背后的核心理念：他们没有像传统制造商那样消除噪声，而是主动注入随机性，让芯片自身的物理特性来完成计算。 ✦ AI 生成 · 平台预翻

Thomas Ahle · Machine Learning Street Talk · 2026-06-28 · English original →

不过，不过这事挺有意思的，因为你看这些芯片，芯片制造商们花了那么多时间，把系统里每一丁点噪声都去掉，把所有东西的容差都做得极其精确。那种精度啊，可能是这世上最讲究精密的行业了。然后我们拿它们来干嘛呢？我们就到处给它加随机性。呃，所以，为什么不干脆试着做一块本身就是随机的芯片呢？

But then, but then it's funny because you have these chips and like the chip manufacturers, they spend so much time like getting out every single little piece of noise out of their systems and like having these extremely sharp margins for everything. Like so much, you know, precision. It's probably like most precise business in the world. And then what do we do with them? We just like add randomness everywhere. Um and um yeah, so why not try and build a chip that's just inherently random?

回到原声 ↗逐字转录 · 起于 35:58 · 中文为平台译文