Quantum Computers and Quantum Supremacy

hello

i’m john martinez and would like to talk

about our recent experiment on quantum

supremacy

computers are important for the modern

world in part because they continue to

become more and more powerful over time

as described by moore’s law however

physical

limits are slowing down such

advancements so that new computing ideas

are being researched

quantum computing is such a new

technology which promises to solve

certain problems

exponentially faster than current

computers

billions of dollars and decades of

research has been invested in quantum

computing

the aim of the quantum supremacy

experiment as google

was to explicitly demonstrate this speed

up

on at least one algorithm in particular

the quantum computer took data for 200

seconds

which then needed over a thousand years

to check on a supercomputer

thus showing the computational power of

quantum mechanics

now quantum panics was first developed

to describe how atoms work

for example take the hydrogen nucleus

which is a negatively charged electron

a electron circling a positive charge

proton nucleus

both particles attract each other and

classically you would expect them to

just stick together

this is not what happens since quantum

mechanics explains

the electron forms a small cloud around

the proton

whereas simultaneously at all parts

around the nucleus at the same time

physicists call this the superposition

principle

quantum explains why atoms have size an

important property of all the matter

around us the cloud is formed by a

precise physical theory

that can predict well the properties of

atoms

quantum computing abstracts the idea of

superposition to information

which is fundamentally described by bits

that are either

0 or 1. in a quantum computer each

quantum bit or qubit

can be both 0 and 1 at the same time in

a quantum superposition

if a qubit can be at 0 and one in the

same time

then is it possible to compute the

answer to zero

and the answer to one simultaneously

just like a parallel computer

this gives a factor of two speed up

which is interesting

but not necessarily useful it becomes

useful however

considering what happens to multiple

qubits

for example in two qubits it

simultaneously computes

the answer for 0 0 0 1 1

0 1 1 now a factor of 4 a parallelism

this increase in parallel computing is

doubled for each added qubit

and exponential increase versus size

thus at 50 cubits the parallelism is 2

to the 50th power

which then starts to compete with the

supercomputer

at 300 cubits 2 to the 300

is basically the number of atoms in the

universe

which is clearly a size that is gets to

be interesting

it’d never do classically we make our

quantum computer using artificial atoms

made out of superconducting electrical

circuits

here the macroscopic currents and

voltages in the circuit behave quantum

mechanically

it’s not obvious that nature allows

quantum mechanics to work this way

so that was my phd thesis in the

mid-1980s to prove it

the interesting idea here is that you

can build a complex quantum system

a quantum computer using integrated

circuit fabrication technology

just like that’s used for building a

computer chips

it has taken many people around the

world for about 30 years

to figure out exactly how to do this and

to get this

the circuits to work well for the

quantum supremacy experiment

we built at google a chip called

sycamore that had 53 qubits

where each qubit connected to each

neighbor in a square grid

the big step here was to precisely

control and calibrate

each qubit so we knew exactly what it

was doing

the quantum supremacy algorithm was

essentially building a quantum

random number generator which had a

quantum property similar to

laser speckle such that some num numbers

are more likely than other numbers

so we measured these random numbers from

a quantum computer

and then checked with a quantum

simulation on a supercomputer

that the numbers we measured were

actually the ones predicted

for 30 qubits one can check with your

laptop

at 40 you need a powerful workstation at

50

you need a super computer or a google

data center

at the 50 feet we eventually measure it

would take thousands of years to do the

check

now important science that was tested

here is that the quantum computer

worked just as predicted we found no new

physics that would prevent us from

making

even more powerful machines that’s

really good news

so now that we’ve shown a quantum

computer can be powerful the next step

is to show it can do

something useful for quantum algorithms

a big area of research is quantum

artificial intelligence

and quantum ominous optimization like

solving the traveling salesman problem

although this promises to have huge

commercial impact

useful algorithms have not yet been

invented and clearly in active area

research

i like the research into quantum

chemistry which is actually what richard

feynman first proposed in the 1980s

and now algorithms exist to solve such

problems

simplified versions are being run on

quantum computers now or giving sensible

results

it’s a good test of the theory what’s

going on

these algorithms can be thought of as

running let’s say a hundred to a

thousand

lines of code for for practical

applications we’re going to need larger

machines

maybe in the millions or billions of

lines of code

to do this we need to reduce qubit

errors by millions or billions

which requires quantum error correction

this is currently a frontier research

into making a quantum computer may take

maybe a decade to figure that all out

the field of quantum computing is

growing with billions of dollars of

research

funding now being planned although

building a quantum computer is

challenging

the quantum supremacy experiment has

shown that quantum computers can be

powerful as promised

and it’s the right time for investment

to now make them useful

okay thank you very much

you

你好,

我是约翰·马丁内斯,我想

谈谈我们最近关于量子

霸权

计算机的实验对现代世界很重要

,部分原因是它们

随着时间的推移继续变得越来越强大,

正如摩尔定律所描述的那样,但是

物理

限制正在放缓

进步,因此

正在研究

新的计算

思想 为了明确证明

至少一种算法的这种加速,特别

是量子计算机需要 200

秒的数据

,然后需要一千年以上的时间

来检查超级计算机,

从而显示量子力学的计算能力,

现在量子恐慌首先被开发

来描述如何 原子工作

例如取氢

原子核是带负电的

电子 电子环绕带正电的

质子核

两个粒子相互吸引,

经典地你会期望

它们粘在一起

这不是发生的事情,因为量子

力学解释

了电子在质子周围形成一个小云

而同时

同时在原子核周围的所有部分

物理学家称之为叠加

原理

量子解释了为什么原子具有大小 我们周围

所有物质的重要特性

云是由

精确的物理理论形成的

,可以很好地预测原子的特性

量子计算 将叠加的概念抽象

为基本由 0 或 1 的位描述的信息

。在量子计算机中,如果

量子位

可以为 0,则

在量子叠加中,每个量子位

或量子位可以同时为 0 和 1 和一个在

同一时间

然后是有可能计算

答案为零

和答案 像并行计算机一样同时连接一个,

这提供了两倍的速度,

这很有趣,

但不一定有用,它变得

有用,但是

考虑到多个量子位发生的情况

,例如在两个量子位中,它

同时

计算 0 0 0 1 1 0 的答案

1 1 现在是 4 倍的并行度

这种并行计算的

增加对于每个增加的 qubit

和指数增加与大小相比增加了一倍,

因此在 50 cubits 时并行度是

2 的 50 次方

,然后开始与 300 cubits 的

超级计算机竞争

2 到 300

基本上是宇宙中原子的数量

这显然是一个有趣的大小

它永远不会在经典中做到 我们

使用由超导电路制成的人造原子来制造我们的量子计算机

这里的宏观电流和

电压 电路表现出量子

力学性质并不明显大自然允许

量子力学以这种方式工作,

所以那是我的博士 d 论文在

1980 年代中期证明了这

一点 这里有趣的想法是你

可以构建一个复杂的量子系统

使用集成电路制造技术的量子计算机

就像用于构建

计算机芯片的计算机芯片

一样 30 年的时间

来弄清楚如何做到这一点,并

让电路在

量子霸权实验中运行良好,

我们在谷歌构建了一个名为 sycamore 的芯片

,它有 53 个量子位

,每个量子位连接到

方形网格中的每个邻居,这是一

大步 这是为了精确

控制和校准

每个量子位,所以我们确切地知道它

在做什么

我们从一台量子计算机测量了这些随机数

,然后

在一台超级计算机上进行了量子模拟

检查 我们测量的数字

实际上是预测

的 30 量子比特 一个可以用你的

笔记本电脑

在 40 岁时检查 你需要一个强大的工作站

50 岁

你需要一台超级计算机或 50 英尺处的谷歌

数据中心

我们最终测量到这

将需要数千年 现在进行

检查

,这里测试的重要科学

是量子计算机的

工作方式与预测的一样,我们没有发现新的

物理学会阻止我们

制造

更强大的机器,这

真是个好消息,

所以现在我们已经展示了量子

计算机可以 变得强大 下一步

是证明它可以

为量子算法做一些有用的事情

一个很大的研究领域是量子

人工智能

和量子不祥优化,比如

解决旅行商问题,

尽管这有望产生巨大的

商业影响

有用的算法尚未

发明 很明显,在活跃领域的

研究中,

我喜欢对量子化学的研究

,这实际上是理查德

费曼在 1980 年代首次提出

,现在存在解决此类

问题的算法

简化版本现在正在

量子计算机上运行或给出合理的

结果

这是对理论的一个很好的测试

这些算法正在发生什么可以被认为是

运行让我们说一百到

用于实际应用的一千行代码

我们将需要更大的

机器

可能需要数百万或数十亿

行代码

才能做到这一点 我们需要将量子比特

错误减少数百万或数十亿

这需要量子纠错

这是目前的前沿

制造量子计算机的研究

可能需要十年时间才能确定

量子计算领域正在

增长,目前正在计划数十亿美元的

研究

资金,尽管

建造量子计算机正在

挑战量子霸权实验

表明量子计算机可以

像承诺的那样强大

,现在是投资的正确时机,

让它们变得

有用 非常感谢你