Let’s get one thing straight right away: the numbers coming out of Hefei this month are absolutely insane. I mean, we’re talking about a machine that solves in 25 microseconds what would take the world’s fastest supercomputer longer than the age of the universe to finish. That’s not a typo. Twenty-five microseconds versus ten to the forty-second power years.
China just unveiled Jiuzhang 4.0, its latest photonic quantum computing prototype, and it’s safe to say the rest of the world is scrambling to catch up. The machine manipulates and detects up to 3,050 photons at once, a massive leap from the 255 photons achieved by its predecessor Jiuzhang 3.0 back in 2023. A research team led by Pan Jianwei and Lu Chaoyang at the University of Science and Technology of China, together with several other domestic institutions, built this thing. They published their results in Nature on May 13, 2026, and the quantum world hasn’t stopped buzzing since.
But here’s the million-dollar question everyone’s asking: how long can China actually hold onto this lead?
Before we try to answer that, let’s appreciate what Jiuzhang 4.0 actually did. The team solved a major headache that’s been plaguing photonic quantum computing for years: photon loss. As optical networks get bigger and more complex, photons have a nasty habit of getting lost in the maze, which kills your computational power. The researchers developed a spatiotemporal hybrid-coding architecture that lets photons interact across both time and space dimensions, boosting connectivity while keeping the physical device size manageable. They achieved a source efficiency of 92 percent and an overall system efficiency of 51 percent. That’s a breakthrough in low-loss photonic quantum information processing.
To put the performance in perspective: the machine completes a Gaussian boson sampling task in 25 microseconds. The world’s most powerful supercomputer, the US-built El Capitan, would need over ten to the forty-second power years to do the same job using the best known classical algorithms. That’s a quantum advantage ratio of ten to the fifty-fourth power.
But here’s the thing that really separates China from the pack. Most countries are betting on one main technology path for quantum computing. China is running two full-speed in parallel.
Jiuzhang 4.0 represents the photonic path. But China also has the Zuchongzhi series for superconducting quantum computing. In 2025, Chinese scientists unveiled Zuchongzhi 3.0, a 105-qubit superconducting processor with 182 couplers, boasting single-qubit gate fidelity of 99.90 percent and two-qubit gate fidelity of 99.62 percent. The achievement set a new record in quantum computational advantage within superconducting systems, processing quantum random circuit sampling tasks at speeds a quadrillion times faster than the world’s most powerful supercomputer, and a million times faster than Google’s latest results published in Nature in October 2024.
China became the only country in the world to achieve quantum computational advantage on two mainstream technical routes back in 2021, and they’ve only widened that gap since.
Now, from an outsider’s perspective, watching the US-China quantum race unfold is like watching two heavyweight boxers with completely different fighting styles. And right now, the Chinese fighter looks like he’s got way more gas in the tank.
The investment numbers are staggering. According to testimony before the US House Committee on Science, Space and Technology in January 2026, the Chinese Communist Party invested more than four times what the United States did in quantum research and development in 2024. In 2025, China announced a 138 billion dollar fund to support public-private partnerships in emerging technologies, including quantum computing. That’s not pocket change. China has committed an estimated 15 billion dollars to quantum technology overall, which is about four times what the US government has invested so far.
China’s approach is highly centralized and state-directed. Quantum computing is listed as one of the top seven future industries in the country’s latest Five-Year Plan. Meanwhile, the US model is much more fragmented: a network of over forty companies, national labs, universities, and hyperscale cloud providers, with government support focused on funding, benchmarking, and verification rather than picking national champions.
China also leads in quantum patent applications, accounting for about 60 percent of the global total, and produces a much higher volume of academic research output in the field.
But let me pause here and give you the other side of the coin, because anyone who tells you this race is already over either doesn’t understand quantum computing or is trying to sell you something.
The US still has some serious advantages. The American innovation ecosystem is more diverse, with deep private sector pockets. Big tech companies are investing heavily across multiple quantum hardware approaches, and that diversity could prove crucial as the industry matures. A fragmented model allows for faster experimentation and breakthrough innovation, even if it lacks the scale and coordination of China’s state-led approach.
Google made headlines in October 2025 when its Willow chip, running a new algorithm called Quantum Echoes, became the first quantum computer to execute a verifiable algorithm with real-world applications. Willow completed a molecular structure calculation in just 2.1 hours that would have taken the Frontier supercomputer 3.2 years, a speedup of about 13,000 times. The algorithm can simulate molecular interactions with nuclear magnetic resonance-style precision, opening up new possibilities for drug discovery, materials science, and chemical simulation.
The work was led by Michel Devoret, a Yale physicist who shared the Nobel Prize in Physics in 2025 for foundational work in quantum control and superconducting circuits. Google’s engineering vice president, Hartmut Neven, expressed optimism about achieving practical quantum computing applications within five years using the Quantum Echoes algorithm.
So the US is not exactly sitting on its hands.
What makes this race so hard to call is that we’re still in the early days. The global scientific community has outlined a three-step roadmap for quantum computing development. Step one is achieving quantum supremacy, which both the US and China have done. Step two involves developing quantum simulators with hundreds of controllable qubits to tackle real-world problems beyond the capabilities of supercomputers. Step three focuses on substantially improving qubit control precision, integration scale, and error correction to develop programmable, general-purpose quantum computers.
We’re somewhere between steps one and two. And step three is where the real battle will be won.
China’s biggest challenge moving forward might not be technical at all. It might be commercial. The gap between research output and global commercial competitiveness remains a defining strategic challenge for the country. China’s quantum companies are mostly spinouts from Chinese Academy of Sciences labs and elite universities, brought to market on state-guided capital, provincial procurement contracts, and state-owned enterprise backing. A few private venture capitalists are now showing up, but the engine is industrial policy, not market forces.
In contrast, the US already has companies generating early revenue through government contracts, corporate pilot projects, and quantum-computing-as-a-service platforms. One Fortune 100 company achieved about a 20 percent performance improvement using quantum optimization techniques, according to an investment report.
The US also maintains a lead in innovation diversity. Jefferies, the investment bank, published a report predicting a broader commercial inflection point between 2028 and 2030. Their assessment is that while China may have near-term advantages in scale and coordination, the US’s decentralized innovation ecosystem could ultimately play a decisive role in shaping the long-term leadership in the global quantum computing race.
There’s also the supply chain issue. US export controls on QuantumCTek, several Chinese Academy of Sciences institutes, and a string of supply-chain firms were meant to slow China down. The effect has arguably been the opposite: it triggered a crash program in domestic dilution refrigerators, low-temperature electronics, and photonic components. China’s superconducting quantum computer test system, dilution refrigerator, and other key equipment have broken long-term foreign technology monopolies, achieving core hardware autonomy. But the question is whether this self-sufficiency drive can keep pace with the rapid advances happening elsewhere.
And then there’s the talent question. China graduates more STEM PhDs than the US, but the US has traditionally been the global destination for top quantum talent. However, that’s changing. US Congresswoman Zoe Lofgren pointed out in her January 2026 hearing statement that the Trump administration was simultaneously turning away foreign talent while canceling programs to train domestic talent, increasing pressure on foreign talent through visa fees, rejections, and intimidation. She warned that if the United States is not the destination for global quantum talent, other nations certainly will be.
So how long can China’s lead last?
Based on everything I’ve seen, here’s my honest assessment: China is likely to maintain a significant advantage in photonic quantum computing for the foreseeable future. Jiuzhang 4.0 is not a one-off fluke; it’s the latest in a series of consistent, incremental breakthroughs going back to 2020. The team has demonstrated an ability to solve hard engineering problems that have stumped other research groups, and they show no signs of slowing down.
In superconducting quantum computing, the race is much closer. Zuchongzhi 3.0 is an impressive machine, but Google’s Willow chip, with its Quantum Echoes algorithm, represents a different kind of breakthrough: one focused on verifiable, real-world applications rather than just raw supremacy demonstrations. The Chinese are excellent at scaling up qubit counts and demonstrating computational advantage on carefully chosen benchmark problems. But the Americans are arguably ahead in thinking about practical applications and error correction, the two things that will ultimately determine who builds a useful, fault-tolerant quantum computer first.
Where China has a decisive edge is in its dual-track strategy and its investment commitment. Running two major technical paths in parallel is extremely expensive, but it also hedges against the risk that one path hits a dead end. And as long as China continues to outspend the US by a factor of four, that advantage compounds over time.
However, I wouldn’t bet against American innovation. Every time people have counted the US out in a technology race, from semiconductors to AI, they’ve been proven wrong. The US ecosystem is messy and fragmented, but that messiness has a way of producing unexpected breakthroughs. Google’s work on verifiable quantum advantage, led by a Nobel laureate, is exactly the kind of thing that can flip a race overnight.
If I had to make a prediction, I’d say this: China will likely maintain a clear lead in quantum supremacy metrics for the next three to five years. They’ve built a machine that is, by any objective measure, the most powerful quantum computer ever constructed for its specific task. And they’ve done it twice, on two different technologies.
But the real prize isn’t quantum supremacy. The real prize is fault-tolerant, general-purpose quantum computing. That’s probably still a decade away or more. And when we get there, the race will be decided by factors that go beyond just qubit counts and speed comparisons: error correction, software ecosystems, commercial adoption, and supply chain resilience.
Right now, China leads in quantity and scale. The US leads in diversity and practical application thinking. Japan, with its 7.21 billion dollars in public investment, is also a serious player that sometimes gets overlooked.
The honest answer to “how long can China’s lead last?” is that nobody really knows. We’re watching a race where the finish line keeps moving. What’s certain is that both countries are treating quantum computing as a strategic asset of the highest order, on par with AI and semiconductors. The investments are huge. The stakes are massive. And the breakthroughs keep coming faster than most experts predicted even two years ago.
One thing is for sure: the team in Hefei isn’t resting on its laurels. And neither is anyone else.