Scientists have used a quantum simulator to recreate one of physics' stranger phenomena: particle pairs emerging as an energetic connection between fundamental particles breaks.
Researchers led by the Duke Quantum Center simulated the phenomenon, known as string breaking, using a chain of 13 trapped ions. The process is related to particle-antiparticle formation and physics found in particle collisions and the early universe.
The experiment did not literally create matter from nothing. Instead, it shows how quantum hardware could become a laboratory for studying high-energy physics that becomes increasingly difficult to model as systems grow more complex.
Quantum simulator recreates string breaking
In particle physics, quarks are confined inside composite particles such as protons and neutrons by the strong nuclear force.
One way to visualize that confinement is as an energetic string. As confined particles move farther apart, the potential energy between them increases. Once enough energy accumulates, new particle-antiparticle pairs can form and the original string effectively breaks.
Researchers recreated analogous dynamics using a programmable trapped-ion quantum simulator.
The team encoded a simplified lattice gauge theory into a chain of 13 atomic ions. Precisely controlled laser beams adjusted interactions between the ions, allowing the researchers to mimic changes in the system's energy.
By preparing the ions in an out-of-equilibrium state and tracking their evolution, the team observed effective charges forming and reconstructed the resulting string-breaking dynamics.
The study was published Sept. 23 in Nature Physics by researchers from Duke University, the University of Maryland, Oxford University, the California Institute of Technology, Cornell University, KU Leuven, and other institutions.
Arinjoy De, the paper's first author and now a production machine lead at QuEra Computing, said the experiment could open new ways to investigate how matter behaves at fundamental scales.
Why use a quantum computer?
The 13-ion experiment was still small enough to reproduce using a classical computer.
Researchers compared the classical simulation with the trapped-ion experiment and found that the quantum system produced the expected behavior.
The difficulty comes as these models scale.
Simulating the real-time behavior of interacting quantum systems can become extremely demanding for conventional computers. Quantum simulators offer another approach because their own quantum states can be programmed to emulate the systems physicists want to study.
Christopher Monroe, a Duke professor of electrical and computer engineering and physics who led the research, said quantum simulation could eventually help researchers investigate questions surrounding matter formation and early-universe physics.
One long-term aim is to scale quantum simulations into regimes that become impractical for classical computers to reproduce directly.
What eWeek found: String breaking is becoming a cross-platform comparison
The Duke experiment becomes more interesting when viewed alongside related work using other types of quantum hardware.
Teams led by Google and QuEra Computing have also investigated string-breaking or related gauge-theory dynamics. Google's work used superconducting circuits, while QuEra and collaborators demonstrated related phenomena with neutral atoms.
That means versions of related high-energy physics problems have now been explored across three prominent quantum architectures: trapped ions, superconducting circuits, and neutral atoms.
Quantum platform | Example research | How it works | Why it matters here |
| Trapped ions | Duke-led experiment | Laser-controlled atomic ions represent the quantum system | Simulated string-breaking dynamics with 13 ions |
| Superconducting circuits | Google-led research | Superconducting qubits are controlled using microwave signals | Demonstrated related gauge-theory and string-breaking dynamics on a different architecture |
| Neutral atoms | QuEra-related research | Laser-controlled neutral atoms act as programmable quantum elements | Provides another hardware approach for studying related gauge-theory dynamics |
The comparison matters because quantum computing has not converged on a single hardware design. Each architecture has different strengths involving fidelity, connectivity, scalability, and control.
The experiments are not identical and should not be treated as a standardized benchmark. But they do give researchers an emerging comparison point for how different quantum architectures handle scientifically meaningful physics problems.
Monroe described the three approaches as leading quantum computing platforms and said studying related problems across them creates a useful benchmark and comparison for the field.
That may be the more important result for the quantum industry. The Duke experiment does not demonstrate quantum advantage, but it adds another architecture to a growing body of work testing quantum machines on difficult physical systems that could become harder to reproduce classically as they scale.
Quantum simulators could probe physics beyond classical reach
The current experiment remains within the range of classical verification, so researchers are not claiming that the trapped-ion machine outperformed conventional computers.
Instead, the significance lies in what could happen as the models become larger and more complex.
The Nature Physics paper points toward increasingly sophisticated lattice gauge theories relevant to high-energy physics, including phenomena connected to string fragmentation, particle interactions, and cosmology.
Quantum chromodynamics, the theory describing the strong interaction between quarks and gluons, remains a much more ambitious long-term target. A full quantum-chromodynamics simulator is beyond current hardware.
Future experiments could model more complicated string dynamics and phenomena relevant to particle collisions and cosmology.
Quantum simulators could eventually complement accelerator experiments by giving researchers a controllable way to emulate particular underlying dynamics that are difficult to isolate experimentally.
For now, 13 ions are nowhere near enough to reconstruct the universe after the Big Bang. But the experiment points toward a more useful measure of quantum progress than qubit counts alone: whether quantum hardware can reproduce scientifically meaningful physics that eventually becomes impractical for classical machines to calculate.
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