Two-dimensional coherent spectrum of high-spin models via a quantum computing approach
Martin Mootz, Peter P. Orth, Chuankun Huang, Liang Luo, Jigang Wang,, and Yong-Xin Yao

TL;DR
This paper introduces a quantum computing method using AVQDS to calculate the two-dimensional coherent spectrum of high-spin models, demonstrating improved resolution and resource scaling, and validating results against experimental data.
Contribution
The study develops a quantum simulation approach for high-spin models' 2D spectra, comparing encoding schemes and analyzing resource scaling, with validation against experimental results.
Findings
2DCS provides higher spectral resolution than 1D spectra.
Gray code encoding is more efficient at high magnetic fields.
Quantum resource scaling is polynomial with system size.
Abstract
We present and benchmark a quantum computing approach to calculate the two-dimensional coherent spectrum (2DCS) of high-spin models. Our approach is based on simulating their real-time dynamics in the presence of several magnetic field pulses, which are spaced in time. We utilize the adaptive variational quantum dynamics simulation (AVQDS) algorithm for the study due to its compact circuits, which enables simulations over sufficiently long times to achieve the required resolution in frequency space. Specifically, we consider an antiferromagnetic quantum spin model that incorporates Dzyaloshinskii-Moriya interactions and single-ion anisotropy. The obtained 2DCS spectra exhibit distinct peaks at multiples of the magnon frequency, arising from transitions between different eigenstates of the unperturbed Hamiltonian. By comparing the one-dimensional coherent spectrum with 2DCS, we…
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Taxonomy
TopicsPhysics of Superconductivity and Magnetism · Magnetic properties of thin films · Quantum and electron transport phenomena
