跟讀練習: I was SO wrong about quantum computing. - 通過影片學習英語口語

選擇練習模式

每種模式都會開啟全屏練習室。

84 句

如果句子過短或過長，請點選 Edit 進行調整。

I was officially wrong about quantum computers, and I don't understand what's going on anymore.

Two years ago, I said quantum computing hype will falter in 2024.

What's happened instead is exactly the opposite.

I have a nagging feeling there's something going on that we don't know about.

Today I want to explain why I'm so pessimistic about quantum computing and what's happening against all reason.

Quantum computers have been praised as the next big thing in computing,

new technology that could vastly speed up certain types of computations by exploiting the peculiar logic of quantum physics.

This sounds great, and it is.

Greater still, there are now multiple companies which say they're ready to mass -produce quantum computers.

The newest arrival is the UK company Quantum Motion,

which says they have the first four -stack quantum computer that's scalable technology with the ability to be mass -produced.

By this, they mean that they have the hardware with a software package and a user interface.

They work with superconducting circuits and say they can scale this to a million qubits,

which is a rough estimate for when quantum computers are expected to become commercially relevant.

This sounds super impressive, doesn't it?

They are the first to claim they can move to mass production of quantum computers.

The company SciQuantum, which works with photons as qubits, said already last year they are building a factory.

The Chinese are building a factory for quantum computers too.

And the Japanese company Fujitsu just announced out of the blue that they can build a quantum computer with 250 logical qubits.

Well, the marketing departments have definitely achieved quantum advantage.

But there is a little problem with these reports.

It's that the press releases don't agree with reality.

The best understood and studied approach today to quantum computing is and remains superconducting circuits.

Those are what IBM, Google, Amazon and many others work with.

The manipulation and readout of these qubits can now be done with excellent precision and low error.

We've seen demonstrations of this up to roughly 100 qubits or so.

The problem becomes apparent if you look at those quantum computers.

These chandelier -like things are the cooling system and the noise buffer.

These qubits work at temperatures of some millikelvin.

And the problem is now that you can't put arbitrarily many qubits in one cooling device.

It's not so much the size that's the difficulty.

It's not the more qubits you have that you need to manipulate, the more heat that'll produce.

This is an issue no one likes to really talk about, so I don't have exact numbers.

But by my rough estimate, somewhere at around 1000 qubits or so, you have a problem.

This is almost certainly why IBM announced a few years back they'll be building the world's largest super fridge.

But we haven't heard anything of this since.

To scale up these devices, therefore, they must connect multiple cooling systems and that'll explode the error rate.

So the problem is not mass producing the qubits or the devices.

The problem is to mass -produce devices that actually work.

These headlines are just crazy.

It's like saying, hey, we can mass -produce spaceships.

It's just that they don't f*ing fly.

The company PsyQuantum works with photons, but from them, we basically haven't seen any documentation of what they can do.

Do they have some secret recipe that'll make it work?

Maybe.

You see, this is the problem here.

It's very well possible that there is something going on here that isn't in the public domain.

And now look at this paper.

These are the stocks of publicly traded quantum computing companies, INQ, Rigetti, D -Wave.

They all made the most amazing gains in the past months.

BlackRock even wants to offer a quantum computing EFT now. But why?

The US government announced they'll invest into quantum tech so did JP Morgan, and that certainly contributed to some optimism.

But other than that, we've just seen nonsense claims,

like this headline from IBM that they can now do quantum -enabled algorithmic trading.

As usual with these headlines, the quantum part isn't actually necessary, it just makes things more difficult.

The computer scientist Scott Aronson put it like this, to critique this paper as not quite shooting fish in a barrel

because the fish are already dead before we've reached the end of the abstract.

There's headlines like this basically every week.

Quantum computers help train scheduling.

Quantum computers make home screener.

Quantum computers discover proteins.

Quantum computers evidently can do everything except produce money because none of these companies is even remotely profitable.

It is possible that there's been some technological breakthrough that's highly confidential, which explains all this.

The other possible explanation is that the excitement is driven by government investment, especially by the US military,

which is very concerned the Chinese will beat them.

And this bubble is also almost certainly driven by scientists who do nothing to clear up all the misconceptions

that people have about quantum computers.

So the bad news is that quantum computing hype is not anywhere close to faltering,

the good news is I still have a job calling it out.

Yes, I do read a lot of news and know that chatbots still aren't any good at writing my scripts.

But what does help me a lot is Ground News.

Ground News is a news platform that collects and summarizes news which has been published all over the world.

Not only do they collect all articles on the same story in one place and give you a quick summary.

They also give you a lot of extra information that you don't find in the standard media.

A peculiar example I saw the other day is this story about how North America was once busily populated by dinosaurs.

This basically wasn't covered on the political right.

This tells you a lot about echo chambers, doesn't it?

Ground News also gives you a factality rating for each news item, tells you who owns the media outlets

and shows you where the news has appeared ground news also

has this great feature called blind spot this tells you

which news has been almost exclusively covered only by one side of the political spectrum

and of course i have a special offer for you that's a 40 discount on the vantage plan

which gives you access to all their features all you need to do is use my link ground .news sabine

or use the qr code so go and check this out.

下載應用

流利口語所需的一切

AI 發音評分逐句打分

音標練習掌握每個音

詞彙學習建立你的詞庫

詞彙遊戲邊玩邊學

掃碼

Download on theApp Store Get it onGoogle Play

同頻道

FOR YOU

本課的詞彙與口語要點

這段影片共有 84 個句子、1094 個單詞可供跟讀。講話部分時長為 7:20。說話人語速平穩，每分鐘約 149 個詞，很適合跟讀。只有 79% 的單詞屬於英語最常用的 3,000 詞，詞彙難度較高。

影片中的重點詞彙

影片中 15 個不太常見的單詞，附發音和釋義：

quantum /ˈkwɑntəm/ (名詞) — 量. The total amount of something; quantity.
headline /ˈhɛd.laɪn/ (名詞) — 標題 /標題. The heading or title of a magazine or newspaper article.
announce /əˈnaʊn(t)s/ (動詞) — 通告, 公佈. To give public notice of, especially for the first time; to make known.
collect /ˈkɑlɪkt/ (動詞) — 庋藏, 收藏. To gather together; amass.
estimate /ˈɛs.tɪ.mət/ (名詞) — 估計 /估計. A rough calculation or assessment of the value, size, or cost of something.
scientist /ˈsaɪəntəst/ (名詞) — 科學家 /科學家. One whose activities make use of the scientific method to answer questions regarding the measurable universe. A scientist may be involved in original research…
hype /haɪp/ (名詞) — 炒作. Promotion or propaganda, especially exaggerated claims.
chamber /ˈt͡ʃeɪ̯mbɚ/ (名詞) — 臥室 /臥室, 寢室 /寢室. The private room of an individual, especially of someone wealthy or noble.
impressive /ɪmˈpɹɛsɪv/ (形容詞) — 令人印象深刻. Making, or tending to make, a positive impression; having power to impress.
package /ˈpæk.ɪd͡ʒ/ (名詞) — 包裹, 包. Something which is packed, a parcel, a box, an envelope.
arrival /əˈɹaɪ.vl̩/ (名詞) — 到達 /到達, 到來 /到來. The act of arriving (reaching a certain place).
explanation /ˌɛkspləˈneɪʃən/ (名詞) — 解釋 /解釋, 說明 /說明. The act or process of explaining.
discover /dɪˈskʌvə/ (動詞) — 發現 /發現, 發覺 /發覺. To find or learn something for the first time.
physics /ˈfɪz.ɪks/ (名詞) — 物理學 /物理學. The branch of science concerned with the study of the properties and interactions of space, time, matter and energy.
connect /kəˈnɛkt/ (動詞) — 連線 /連線. To join (to another object): to attach, or to be intended to attach or capable of attaching, to another object.

影片中出現的短語動詞

look at (動詞) — 觀察 /觀察, 看. To observe or watch.
speed up /spiːdˈʌp/ (動詞) — 加速, 加快. To accelerate; to increase speed.

需要注意的發音

說話人用了 25 次縮略和弱讀形式，例如 don't, that'll, we've。請按聽到的簡短形式來說。

“th” 音: breakthrough /ˈbɹeɪk.θɹuː/, algorithmic /ˌælɡəˈɹɪðmɪk/
“sh” 和 “zh” 音: explanation /ˌɛkspləˈneɪʃən/, demonstration /dɛmənˈstɹeɪʃən/, precision /pɹɪˈsɪʒ.ən/, documentation /ˌdɑkjəmɛnˈteɪʃən/, confidential /ˌkɔn.fɪˈdɛn.ʃəl/
長單詞——注意重音位置: explanation /ˌɛkspləˈneɪʃən/, difficulty /ˈdɪfɪkəlti/, exclusively /ɪkˈskluːsɪvli/, demonstration /dɛmənˈstɹeɪʃən/, technological /ˌtɛk.nəˈlɑ.dʒɪ.kəl/

如何用這段影片練習

先完整聽一遍影片，不要開口，記下不認識的單詞。
用正常速度逐句跟讀，每句重複到你的節奏與說話人一致為止。
錄下自己的聲音並與原聲對比，特別注意 quantum, headline, announce 這類單詞。

影片中的語法

說話人最常用的結構，並附上影片中的原話：

結構	影片中的用法
現在完成時 have/has + 過去分詞 — 過去發生但與現在仍有關聯的事	have been praised · have definitely achieved · We've seen
被動語態 be + 過去分詞 — 強調發生了什麼，而不是誰做的	have been praised · are expected · be done

什麼是跟讀法？

跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧，最初開發用於專業口譯員的培訓，並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大：您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同，跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性，語調，節奏，連讀，聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。

影子跟讀法: 閱讀完整分步指南 →

跟讀練習: I was SO wrong about quantum computing. - 通過影片學習英語口語

選擇練習模式

下載應用

同頻道

Make AI Believe in God to Keep Humans Safe, Scientist Argues

Mathematician Collapses All Functions to One Weird Formula

AI Will End Philosophy, Physicist Claims

We Can Now Simulate a Human Brain, Scientists Show

Does God exist? Science does not have an answer.

Has quantum mechanics proved that reality does not exist?

The Uncertainty Principle: What Does It Mean, How Does It Work?

Superfluid Dark Matter

What is time?

The End of Human Mathematics? AI's Recent Breakthrough -- And What's Next

FINALLY: A Proof that Particles Take All Paths At Once?

10 things you should know about black holes

Our Solar System Lost Two Planets!

推薦影片

How Quantum Batteries Break Every Rule of Charging

Jensen Huang: The Mindset That Built NVIDIA

Gemma 4 Just Released - Whats In? In 2026!

Trump’s Canada Tariffs Are Backfiring in Red States | The Week

The Psychology of Fast Learners: Why You’re Actually Learning Wrong

Crypto Agility Explained: Protect Data from Quantum Computing Threats

Theranos – Silicon Valley’s Greatest Disaster

The Semiconductor Production Process Explained Clearly

Can This Vibe Coder Beat a Senior Developer?

Why You Should Buy a Laptop Instead of Building a PC?