For decades, physicists have written equations to describe matter under extreme conditions—the kind found inside particle accelerators or collapsing stars. The problem: even our most powerful supercomputers can't actually solve those equations. The math gets too tangled. Quantum computers, which work in fundamentally different ways, might finally crack it.
Researchers just proved this works. Using IBM's quantum hardware, a team successfully simulated key features of nuclear physics on more than 100 qubits—the quantum equivalent of classical computer bits. More importantly, they did it in a way that scales up, meaning they didn't just get lucky with one specific problem. They built a method that could handle much larger, more complex systems.
The real breakthrough was figuring out how to set up the starting conditions. Before you can simulate a particle collision, you need to prepare the quantum state that represents the vacuum—the empty space where particles will collide. This is harder than it sounds. The team began by designing the necessary quantum circuits on classical computers for small systems, then took those designs and scaled them up to run on actual quantum hardware. They extracted properties of the vacuum with percent-level accuracy, which is the kind of precision physicists need to trust the results.
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Once you can reliably simulate nuclear physics at extreme densities, you can start answering questions that have puzzled physicists for decades. Why is there more matter than antimatter in the universe? How do heavy elements form inside supernovae? What happens to matter when it's compressed to densities we've never observed on Earth?
The same quantum circuits that model nuclear physics could also help researchers understand exotic materials with strange quantum properties—the kind of materials that might power future technologies. And because the approach is scalable, each generation of quantum computers should be able to handle increasingly complex simulations that classical computers simply cannot touch.
The work was supported by the Department of Energy's Office of Nuclear Physics and several quantum research initiatives, with computing resources from Oak Ridge Leadership Computing Facility and the University of Washington's Hyak supercomputer system.
This is still early-stage science—quantum computers are still relatively small and error-prone compared to what this work ultimately demands. But the team has shown that when quantum computers do mature, they'll have something classical machines can never do: simulate the physics of extreme conditions with enough detail to answer fundamental questions about how the universe works.
