Magnetic molecules, modelled as finite-size spin systems, are test-beds for
quantum phenomena and could constitute key elements in future spintronics
devices, long-lasting nanoscale memories or noise-resilient quantum computing
platforms. Inelastic neutron scattering is the technique of choice to probe
them, characterizing molecular eigenstates on atomic scales. However, although
large magnetic molecules can be controllably synthesized, simulating their
dynamics and interpreting spectroscopic measurements is challenging because of
the exponential scaling of the required resources on a classical computer.
Here, we show that quantum computers have the potential to efficiently extract
dynamical correlations and the associated magnetic neutron cross-section by
simulating prototypical spin systems on a quantum hardware. We identify the
main gate errors and show the potential scalability of our approach. The
synergy between developments in neutron scattering and quantum processors will
help design spin clusters for future applications.

本文讨论了磁性分子和量子计算在自旋系统和自旋电子学设备方面的应用，以及如何通过利用非弹性中子散射技术获取分子特征来揭示这些现象。作者认为，将中子散射和量子计算技术相结合，有望为未来的自旋簇设计带来更多机遇。