Their study used a classical simulation algorithm called Gaussian boson sampling to provide a highly efficient way of demonstrating such speedup in solving some well-defined tasks.

研究使用了种名为高斯玻色子采样经典模拟算法，在解决些特定任务时提供了种高效方式来证明这种加速。

Statistical speech models and a probabilistic technique called Gaussian mixture modelling are then used to identify each phoneme, before reconstructing the original word.

然后由语音统计模型和种称为高斯混合模型概率工具来识别每个语素，再将其组合为原来单词。

The team says Jiuzhang's quantum computing system can implement large-scale " Gaussian boson sampling" 100 trillion times faster than the world's fastest existing supercomputer.

研究团队表示，“九章”量子计算系统可以实现大规模“高斯玻色采样”，比目前世上最快超级计算机快100万亿倍。

The Gaussian distribution or the normal distribution, they're two words for the same thing.

高斯分布或正态分布，其实是同概念两种表述。

Gaussian elimination, for example, will always be faster.

高斯消元法，例如，总是会更快。

Key words, gaussian elimination and row echelon form.

关键词 高斯消去和行阶梯形。

Thing, e to the minus quadratic form, is Gaussian.

事物, e 到负二次形式, 是高斯。

Along comes Gaussian splatting, which is like, hey, do we even need the neural part of radiance fields?

高斯点绘制来了， 这就像在说，嘿， 我真需要辐射场中神经部分吗？

And that  all still equals the charge inside the Gaussian surface divided by the permittivity of free space.

这仍然等于高斯面内电荷除以真空介电常。

And once you've done that with the technology of Gaussian splatting, you can manipulate that that scenario.

你使用高斯爆破技术完成了这步，你就可以操纵那个场景。

I will also point out that, if the net charge  inside a closed Gaussian surface is zero, then the net electric flux through  the Gaussian surface is also zero.

我还会指出，如果闭合高斯面内总电荷为零，那么通过该高斯面总电通量也为零。

Everyone should know about is because it touches on every single aspect of our lives and that's the normal distribution or the Gaussian distribution or the bell curve.

每个人都应了解正态分布、高斯分布或钟形曲线，因为它触及我生活方方面面。

But other than the things you can get by multiplying some of these factors by -1, i or -i, factorization within the Gaussian integers is unique.

但除了将这些因子中些乘以 -1、i 或 -i 可以获得结果之外，高斯整内因式分解是唯。

But basically between nerfs and Gaussian splatting, think of Gaussian splatting basically as radiance fields without that neural rendering part.

但在nerf与高斯溅射之间，可以将高斯溅射基本视为没有神经渲染部分辐射场。

Also from a purely artistic standpoint, the ultimate result here is just really pretty to think about, way more so than gaussian elimination, right?

同样从纯粹艺术角度来看 最终结果是非常值得思考 比高斯消去法好得多 对吧？

And similarly, you're seeing in the Gaussian splatting world, different papers about basically having like, in a kind of like like nested hierarchies of splats that have really good transitions to model an entire like city and eventually the globe.

而且类似地， 在高斯点绘制领域，你也看到了些论文，基本上是关于拥有像嵌套层次结构点绘制， 这些点绘制能够很好地过渡以建模整个城市， 最终甚至是整个地球。

Because the Gaussian surface we chose was a sphere concentric with the point charge, the  electric field and the area vector were always in the same direction giving an angle of zero degrees  in the dot product.

因为所选高斯面是个与点电荷同心球体，电场和面积矢量总是同方向， 在点乘中角度为零度。

More specifically, the Galton board  illustrates one of the most prominent distributions in all of probability, known as the Normal distribution, more colloquially known as a Bell curve, and  also called a Gaussian distribution.

更具体地说， 加尔顿板展示了种概率中最为显着分布，即正态分布， 也俗称钟形曲线，又被称作高斯分布。

Anytime you ever see a distribution and it's e to the minus, some quadratic form, that's Gaussian distribution.

任何时候你看到个分布， 它是 e 到负，些二次形式， 那就是高斯分布。

Whereas, gaussian lives between minus infinity and infinity.

而高斯介于负无穷大和无穷大之间。