Oak Ridge National Laboratory lasers & neutrons reveal quantum state breaking matter rule

Researchers at Oak Ridge National Laboratory have, for the first time, directly observed a violation of a fundamental physical rule governing matter, using a novel combination of laser excitation and neutron observation. The team drove a magnetic material far from equilibrium with rapid laser pulses and then used the Spallation Neutron Source to reveal an unexpected imbalance in energy-related events.

“No one before has directly probed a detailed balance violation in a condensed matter system,” said ORNL’s Chengyun Hua. “Theoretically it makes sense it can happen, but experimentally it was pretty awesome to see.” This discovery not only establishes a platform for studying other quantum states but also suggests potential benefits for quantum technologies reliant on long-lived magnetic signals for data transfer.

Laser-Driven Magnetism Violates Detailed Balance in Matter

The Spallation Neutron Source at Oak Ridge National Laboratory played a large part in an unusual observation. Researchers paired neutron scattering with laser-driven excitation of a magnetic material, a methodology not typically employed in studies of systems far from equilibrium. This combined approach revealed a violation of detailed balance within the material under laser excitation, a surprising result that challenges established physics principles governing energy transfer.

To observe a long-lived quantum state in a magnetic material, ORNL’s Chengyun Hua sets up a pump-probe experiment using
Credit: Genevieve Martin/ORNL, U.S. Dept. of Energy · Source: ornl.gov

The neutron data specifically showed excess signals appearing on only one side of the energy exchange, directly indicating the breakdown of this fundamental rule. This breakdown wasn’t a fleeting phenomenon; the lopsided excess of magnons, quantum quasiparticles central to magnetic behavior, persisted, demonstrating a long-lived, non-equilibrium steady state sustained by the periodic laser pulsing.

Magnons are capable of carrying information, and their observed longevity suggests potential benefits for data transfer and memory devices within future quantum technologies. The team’s work builds on a multi-year effort at ORNL to develop the specialized infrastructure necessary for these types of investigations, initially supported by an internal seed grant focused on high-risk, high-reward physics. This observation not only provides a new avenue for studying other non-equilibrium quantum states but also establishes a benchmark for the capabilities of neutron scattering when observing actively driven materials, rather than static systems.

Because we were taking a new approach, mechanics, safety personnel, hardware and software engineers, and the research team all had to think outside the box to make this project work.

ORNL’s Chengyun Hua

Spallation Neutron Source Reveals Long-Lived Quantum Magnons

The insights gained from this study could also guide the development of low-loss electronics, offering potential improvements in energy efficiency. Beyond specific applications, the experiment provides a new benchmark for neutron scattering, demonstrating its ability to characterize materials under active manipulation and opening avenues for real-time observation of complex quantum phenomena.

No one before has directly probed a detailed balance violation in a condensed matter system.

Stay current

See today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals.

Avatar of Ivy Delaney

Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

Latest Posts by Ivy Delaney: