Old Huang just a word, let a number of concept stocks plummeted!

Quantum computing is still 20 years away from being practical, he said.

IonQ, Rigetti, and other quantum computing stocks subsequently plunged by 40-50%

IonQ was down about 45 percent, Rigetti shares were down more than 48 percent in the morning, D-Wave Quantum was down about 47 percent, Quantum Computing was down 49 percent, and D-Wave Quantum was down about 47 percent.

Nvidia, on the other hand, fell only a little, down 0.18%.

(What a vicious business war, bushi)

Let's see what Huang has to say.

Quantum computing is still 20 years away from practical use

"If you say you can build a very practical quantum computer in 15 years, that's probably too early," Huang said. If you say 30 years, it's probably too late.

But if you compromise on 20 years, that's a good time, and many people should believe that.

And until a practical quantum computer is available, it's important to focus on the pre-quantum level. Then Nvidia will play an "important role" in pushing it to "get there as quickly as possible."

As a result, the concept stocks that had soared before this sentence plunged, even Google was affected a little, down about 1.02%.

Even so, Quantum Computing is still up nearly 1,400% from six months ago, while Rigetti is up more than 850%, D-Wave is up 360%, and IonQ is up 265%.

In fact, looking back over the past year, quantum computing has indeed made remarkable progress, especially in the period from November to December.

Even tech giant Google achieved its highest gain for the whole year (2024).

They introduced Willow, a new quantum computing chip that can solve a mathematical equation in just five minutes

One of today's fastest ^{supercomputers would take 1025 years to complete.}

With 105 qubits, it achieved SOTA in both quantum error correction and random circuit sampling benchmarks, achieving two significant achievements:

• With an increase in qubits, Willow can achieve an exponential reduction in error rates - a key challenge that the field of quantum error correction has been trying to solve for 30 years.
• In five minutes, Willow completed a calculation that would take one of today's fastest supercomputers 10(25) years to complete, a number far beyond the age of the universe.

There's also Amazon, which launched its quantum Computing Advisory program last November and said in an announcement that the program will help AWS customers "get ready for quantum computing."

When things are so hot, the market is going up. And although old Huang seems to have poured cold water this time, in fact, Nvidia has bet on quantum computing long before.

He even said:

We work with almost every quantum computing company.

Nvidia is betting on its own

However, unlike other manufacturers' bets, similar to the wave of graphic games, and now the wave of large models, for quantum computing, Nvidia's thinking is still focused on accelerating computing that complements quantum computing, rather than diving into the field.

Old Huang once made a metaphor:

In terms of quantum computing, you need a classical computer to correct errors with a quantum computer. And that classical computer had better be the fastest computer that humans can build, which happens to be us.

Two years later, they launched QODA, later renamed CUDA Quantum, a hybrid quantum-classical computing open source platform, whose hybrid programming model allows for simultaneous computation of GPU, CPU, and QPU resources in a single quantum program.

The CUDA Quantum algorithm can achieve up to 2,500 times faster than the CPU and uses multiple Gpus to scale the number of qubits.

"With cuQuantum, a 32 DGX POD can simulate a 40 qubit quantum computer," Huang said.

cuQuantum is currently being adopted by many organizations around the world, including Google, Oracle, AWS, BMW, IBM and even start-ups and supercomputing centers.

Amazon AWS has leveraged the capabilities of NVIDIA cuQuantum in its Bracket Quantum computing service. In this way, the company achieved a 900x speed increase and a 3.5x cost reduction.

Meanwhile, Oracle is building quantum simulation virtual machines for the OCI cloud through NVIDIA cuQuantum.

There is also IonQ, the first publicly traded startup focused on the development of general-purpose quantum computing systems.

In November, they claimed to have successfully run the Nvidia Quantum Computing development Kit on their hardware.

In the year of the introduction of quantum computing related schemes (2022), old Huang also gave a similar statement:

Quantum computing is still at least two decades away.

But one is "implementation" and the other is "practical."

That is not the key point in the industry is also in those years. (Doge)

Reference link
[1]https://finance.yahoo.com/news/rigetti-ionq-stocks-plunge-after-nvidia-ceo-says-useful-quantum-computing-is-decades-a way-174222136.html.
[2] https://developer.nvidia.com/cuda-q.
[3] https://nvidianews.nvidia.com/news/nvidia-announces-hybrid-quantum-classical-computing-platform.
[4]https://www.businessworld.in/article/%E2%80%98quantum-computing-still-at-least-two-decades-away%E2%80%99-nvidia-ceo-j ensen-huang-447504.
[5]https://qz.com/nvidia-jensen-huang-quantum-computers-stocks-chips-ces-1851735179.