IBM Quantum Computer Accurately Simulates Real Magnetic Materials, Reproducing National Laboratory Data

IBM (NYSE: IBM) today announced new results that its quantum computer can simulate real magnetic materials with results that match neutron scattering experiments, marking a significant step towards using quantum computers as reliable tools for scientific discovery. The work, reported in a pre-print, was conducted by scientists from the U.S. Department of Energy-funded Quantum Science Center at Oak Ridge National Laboratory, Purdue University, University of Illinois Urbana-Champaign, Los Alamos National Laboratory, the University of Tennessee and IBM.

The ability to design new materials—such as better superconductors, more efficient batteries, or novel drugs—depends on understanding quantum behavior that is often challenging for classical methods to model. While quantum computers are expected to address this challenge, it has remained unclear whether today’s processors could deliver quantitatively reliable simulations of real materials. These results show that current quantum hardware, combined with new algorithms and quantum-centric supercomputing workflows, can already simulate properties of materials, which in general, can be difficult to predict using classical methods alone.

“There is so much neutron scattering data on magnetic materials that we don’t fully understand because of the limitations of approximate classical methods,” said Arnab Banerjee, assistant professor of Physics and Astronomy at Purdue University. “Using a quantum computer for better understanding these simulations and comparing experimental data has been a decade-long dream of mine, and I’m thrilled that we have now demonstrated for the first time that we can do that.”

The Experiment

Scientists have long used neutron sources to reveal the quantum properties of materials by measuring how incident neutrons exchange energy and momentum with spins in the material. In this study, the team focused on the well-characterized magnetic crystal KCuF₃ and directly compared neutron scattering measurements with simulations on a quantum computer. The agreement between experiment and simulation demonstrates that quantum processors can now capture key dynamical properties of real materials. “This is the most impressive match I’ve seen between experimental data and qubit simulation, and it definitely raises the bar for what can be expected from quantum computers,” said Allen Scheie, condensed matter physicist at Los Alamos National Laboratory. “I am extremely excited for what this means for science.”

These results begin to establish quantum computers as reliable computational tools for material simulation. “Quantum simulations of realistic models for materials and their experimental characterization is a major demonstration of the impact quantum computing can have on scientific discovery workflows,” said Travis Humble, director of the Quantum Science Center at Oak Ridge National Lab.

The study also highlights how improvements in the scale and quality of quantum processors were crucial for the simulation accuracy achieved. “These results were really enabled by the two-qubit error rates that we can now access on our quantum processors,” said Abhinav Kandala, principal research scientist at IBM. “We expect further improvements in error rates and extensions to higher dimensions to enable predictions of material properties that are challenging for classical methods alone.” Leveraging the programmability of a universal quantum processor, the team has already extended the approach beyond KCuF₃ to simulate material classes with more complex interactions.