Microsoft says U.S. can’t afford falling behind China in quantum computers
Microsoft President Brad Smith speaks during signing ceremony of cooperation agreement between the Polish Ministry of Defence and Microsoft, in Warsaw, Poland, February 17, 2025.
Kacper Pempel | Reuters
The U.S. cannot afford to fall behind China in the race to a working quantum computer, Microsoft President Brad Smith wrote Monday.
President Donald Trump and the U.S. government need to prioritize funding for quantum research, or China could surpass the U.S., endangering economic competitiveness and security, Smith wrote.
“While most believe that the United States still holds the lead position, we cannot afford to rule out the possibility of a strategic surprise or that China may already be at parity with the United States,” Smith wrote. “Simply put, the United States cannot afford to fall behind, or worse, lose the race entirely.”
Microsoft’s position is the latest sign that research into quantum computing is starting to heat up among big tech companies and investors who are looking for the next technology that could rival the artificial intelligence boom.
Smith is calling for the Trump administration to increase funding for quantum research, renew the National Quantum Initiative Act and expand a program for testing quantum computers by the Defense Advanced Research Projects Agency, or DARPA. The Microsoft executive is also calling on the White House to expand the educational pipeline of people who have the math and science skills to work on quantum machines, fast-track immigration for Ph.D.s with quantum skills and for the government to buy more quantum-related computer parts to build a U.S. supply chain.
Microsoft did not detail how China surpassing the U.S. in quantum computing technology would endanger national security, but a National Security Agency official last year discussed what could happen if China or another adversary surprised the U.S. by building a quantum computer first.
The official, NSA Director of Research Gil Herrera, said that if such a “black swan” event happened, banks might not be able to keep transactions private because a quantum computer could crack their encryption, according to the Washington Times. A working quantum computer could also crack existing encrypted data that is usually shared publicly in a scrambled fashion, which could reveal secrets on U.S. nuclear weapon systems.
In February, Microsoft announced its latest quantum chip called Majorana, claiming that it invented a new kind of matter to develop the prototype device. Last year, Google announced Willow, a new device the company claimed was a “milestone” because it was able to correct errors and solve a math problem in five minutes that would have taken longer than the age of the universe on a traditional computer.
While the computers people are used to use bits that are either 0 or 1 to do calculations, quantum computers use “qubits,” which end up being on or off based on probability. Experts say that quantum computers will eventually be useful for problems with nearly infinite possibilities, such as simulating chemistry, or routing deliveries.
But the current quantum computers are far away from that point, and many computer industry participants say it could take decades for quantum computers to reach their potential.
Microsoft’s chip, Majorana, has eight qubits, but the company says it has a goal of least 1 million qubits for a commercially useful chip. Microsoft needs to build a device with a few hundred qubits before the company starts looking at whether it’s reliable enough for customers.
WATCH: How quantum computing could supercharge Google’s AI ambitions
Jensen Huang, chief executive officer of Nvidia Corp., during the US-Saudi Investment Forum at the Kennedy Center in Washington, DC, US, on Wednesday, Nov. 19, 2025.
Stefani Reynolds | Bloomberg | Getty Images
In the weeks leading up to Nvidia’s third-quarter earnings report, investors debated whether the markets were in an AI bubble, fretting over the massive sums being committed to building data centers and whether they could provide a long-term return on investment.
During Wednesday’s earnings call with analysts, Nvidia CEO Jensen Huang began his comments by rejecting that premise.
“There’s been a lot of talk about an AI bubble,” Huang said. “From our vantage point we see something very different.”
In many respects, Huang’s remarks are to be expected. He’s leading the company at the heart of the artificial intelligence boom, and has built its market cap to $4.5 trillion because of soaring demand for Nvidia’s graphics processing units.
Huang’s smackdown of bubble talk matters because Nvidia counts every major cloud provider — Amazon, Microsoft, Google, and Oracle — as a customer. Most of the major AI model developers, including OpenAI, Anthropic, xAI and Meta, are also big buyers of Nvidia GPUs.
Huang has deep visibility into the market, and on the call he offered a three-pronged argument for why we’re not in a bubble.
First, he said that areas like data processing, ad recommendations, search systems, and engineering, are turning to GPUs because they need the AI. That means older computing infrastructure based around the central processor will transition to new systems running on Nvidia’s chips.
Second, Huang said, AI isn’t just being integrated into current applications, but it will enable entirely new ones.
Finally, according to Huang, “agentic AI,” or applications that can run without significant input from the user, will be able to reason and plan, and will require even more computing power.
In making the case of Nvidia, Huang said it’s the only company that can address the three use cases.
“As you consider infrastructure investments, consider these three fundamental dynamics,” Huang said. “Each will contribute to infrastructure growth in the coming years.”
Reversing the slide
In its earnings release, Nvidia reported revenue and profit that sailed past estimates and issued better-than-expected guidance. Last month, Huang provided a $500 billion forecast for sales of the company’s AI chips over calendar 2025 and 2026.
The company said on Wednesday that its order backlog didn’t even include a few recent deals, like an agreement with Anthropic that was announced this week or the expansion of a deal with Saudi Arabia.
“The number will grow,” CFO Colette Kress said on the call, saying the company was on track to hit the forecast.
Prior to Wednesday’s results, Nvidia shares were down about 8% this month. Other stocks tied to the AI have gotten hit even harder, with CoreWeave plunging 44% in November, Oracle dropping 14% and Palantir falling 17%.
Some of the worry on Wall Street has been tied to the debt that certain companies have used to finance their infrastructure buildouts.
“Our customers’ financing is up to them,” Huang said.
Specific to Nvidia, investors have raised concerns in recent weeks about how much of the company’s sales were going to a small number of hyperscalers.
Last month, Microsoft, Meta, Amazon and Alphabet all lifted their forecasts for capital expenditures due to their AI buildouts, and now collectively expect to spend more than $380 billion this year.
Huang said that even without a new business model, Nvidia’s chips boost hyperscaler revenue, because they power recommendation systems for short videos, books, and ads.
People will soon start appreciating what’s happening underneath the surface of the AI boom, Huang said, versus “the simplistic view of what’s happening to capex and investment.”
WATCH: Nvidia posts Q3 beat
Technology
Asian chip names rally as Nvidia forecasts hotter-than-expected sales after earnings beat
-
Sports2 years agoStory injured on diving stop, exits Red Sox game
-
Sports3 years ago‘Storybook stuff’: Inside the night Bryce Harper sent the Phillies to the World Series
-
Sports2 years agoGame 1 of WS least-watched in recorded history
-
Sports3 years agoButton battles heat exhaustion in NASCAR debut
-
Sports3 years agoMLB Rank 2023: Ranking baseball’s top 100 players
-
Sports4 years ago
Team Europe easily wins 4th straight Laver Cup
-
Environment2 years agoJapan and South Korea have a lot at stake in a free and open South China Sea
-
Environment1 year agoHere are the best electric bikes you can buy at every price level in October 2024