How Did the Quantum Simulator Work?

The team encoded a string breaking model into a chain of 13 trapped ions — electrically charged atoms held in place. Carefully tuned laser beams adjusted how the ions interacted with one another, letting researchers control the system's energy so it mirrored the stretching and eventual snapping of a particle-like string.

The researchers prepared the system in an out-of-equilibrium state — a condition far from a stable resting point — and then tracked how it evolved over time. This let them detect the appearance of effective charges and reconstruct the dynamics of the simulated string breaking.

To verify the results, the team modeled the same process on a classical computer. The two sets of results agreed. At this scale, classical machines can still do the math; the researchers expect that larger, more complicated versions of these problems will eventually exceed what conventional computers can handle.

"By simulating quark confinement and string-breaking phenomena in a controlled lab environment, we're opening up new pathways for experimental investigations into the behavior of matter at its most fundamental level," said Arinjoy De, first author on the paper, a former PhD student in Monroe's lab and now production machine lead at QuEra Computing.

Why Three Studies at Once Matter

The Duke findings appear alongside two other recently published studies from separate teams that reproduced similar physics on different quantum hardware. Google's team used superconducting circuits; QuEra Computing used neutral atoms.

"These are the three platforms leading the charge in quantum computing, so it's a nice benchmark and comparison for the quantum community," Monroe said.

The international collaboration behind the trapped-ion work included researchers from the University of Maryland, Oxford University, Caltech, Cornell University and KU Leuven.

What Comes Next?

The results represent a step toward quantum simulations too complex for even the world's most powerful supercomputers. If quantum systems keep scaling up, researchers could use them to probe questions that are difficult or impossible to reproduce directly in the lab — including how matter behaved and evolved shortly after the Big Bang.

"As a physicist, it is incredibly exciting to investigate the conditions of the early universe in an atomic-level computing machine," said Zohreh Davoudi, associate professor of physics at UMD and part of the research team. "Even the slightest insights from an out-of-equilibrium physics model will guide us in the future."

The work was funded by the Department of Energy, the National Science Foundation, the Air Force Office of Scientific Research, the Defense Advanced Research Projects Agency and Amazon Web Services.