US pushes quantum computers toward usefulness by 2028

The US Department of Energy is betting that quantum computers can start tackling open problems by 2028, launching a competition and planning a national quantum supercomputing facility. The timeline is aggressive, and officials acknowledge the leap ahead will b

By 2028, the US Department of Energy wants a quantum computer that can do more than sit in demonstrations. It should be strong enough to contribute to scientific breakthroughs—helping accelerate research into new materials, pharmaceuticals and molecules useful in agriculture and manufacturing.

Quantum computers are no longer just a theoretical dream. They are undeniably real hardware now. But they have yet to prove. in a broad and unambiguous way. that they can deliver uncontroversial usefulness—or meaningful commercial value. Their power depends on two pressure points: the number of qubits they can include, and how reliable those qubits are. Existing machines remain too small and too error-prone to do the kind of work the government wants them to do.

That is why the DoE’s Quantum Genesis initiative is aiming for 2028. The initiative is launching a competition and plans to build a national quantum supercomputing facility. It is part of the wider Genesis Mission, which is also providing funding for researchers.

The target is not vague. By 2028. the DoE wants quantum computers powerful enough to begin contributing to open problems in chemistry. materials science. plasma physics and high-energy physics. Darío Gil. under secretary for science at the DoE. framed the goal with a rare mix of ambition and restraint. “I have a lot of confidence that the building blocks exist… we don’t need a massive breakthrough,” he said.

Gil’s confidence is tied to progress already seen in quantum computing. He points to improvements in how well individual qubits can be built. He also cites what he calls phenomenal progress in algorithms that quantum computers use to catch and correct their own errors. He adds that artificial intelligence may play a role in reaching the milestone. including by helping researchers optimize how quantum computers are controlled.

Not everyone treats the 2028 date as routine. Juliette Peyronnet. at the quantum computing company Alice & Bob. described it as “quite ambitious but not impossible.” Paul Stimers. at the Quantum Industry Coalition. said multiple quantum firms had previously announced plans to deliver a scientifically useful. error-proof quantum computer by 2028 or within a few years of it.

The US move also comes after a sharper turn in policy support for quantum technology. It follows President Donald Trump signing two executive orders related to quantum technology. as well as a $2 billion investment into several quantum computing companies from the US Department of Commerce. Some of the quantum technologies named in the executive orders—quantum sensors—have already reached commercial viability. and the expectation is that they will soon be deployed more broadly. including in space through collaboration with NASA.

Quantum computing’s momentum is partly driven by its promise of encryption-breaking capabilities. But the road to 2028 looks less straightforward than the headlines suggest. Gil acknowledged the leap from today’s devices to quantum computers that need to be hundreds or thousands of times larger would require extensive learning. “The reality of it will be dealing with complexity [increase] from [building] a device to a chip to a system. ” he said.

Even if the hardware can scale, other bottlenecks may appear. Supply chains, Stimers said, are still fragile because many components needed for novel quantum devices are exotic.

The United States isn’t alone in making quantum a national priority. The UK aims to acquire large-scale quantum computers beyond 2030 through the ProQure program. China, meanwhile, has placed quantum computing—alongside artificial intelligence—at the center of its next five-year national development strategy. In that global race, 2028 stands out for how short it is, even for the US. “It’s aggressive,” Gil said.

quantum computing Department of Energy Quantum Genesis qubits error correction national quantum supercomputing facility materials science chemistry plasma physics high-energy physics Darío Gil AI optimization