IBM has reached an important achievement in quantum computing by showing that its quantum systems are capable of simulating real magnetic materials with very high accuracy. The simulated results were very close to outcomes of neutron scattering experiments carried out at national laboratories. This work was led by scientists from various institutions such as Oak Ridge National Laboratory, Purdue University, and Los Alamos National Laboratory. It indicates quite a high level of trust in quantum computing as a viable instrument for making new scientific discoveries.
Researchers undertook the simulation of a magnetic crystal KCuF3 which is a very familiar material in experimental physics. They conducted a direct comparison of the simulations made by the quantum computer with the experimental data obtained through neutron scattering. This enabled them to verify that present-day quantum processors are capable of capturing behaviors of materials at a level of complexity usually not feasible for classical computational methods.
“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 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.”
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The breakthrough was made possible thanks to advances in quantum technology hardware, such as reductions in error rates, and the implementation of “quantum-centric supercomputing” hybrid architectures that combine classical and quantum computing. This technique enables experts to “bypass” existing hardware limitations while obtaining valuable information of high accuracy.
According to experts, this breakthrough marks a “watershed moment” in quantum technology. Quantum computers can potentially speed up the production of next-generation technologies such as superconductors, advanced batteries, and pharmaceuticals thanks to their capability to model quantum interactions in materials.
Although this is a single breakthrough, this research is part of a wider trend towards using quantum computing for actual scientific problems. Quantum simulation is expected to increasingly contribute to various scientific disciplines such as materials science, chemistry, and molecular biology.
The breakthrough indicates that quantum computing is no longer “just” a theory. Quantum computing is actually emerging as a practical computational resource that can tackle problems that were previously out of reach.