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Springer proceedings in physics

Simulational Study on the Linear Response for Huge Hamiltonians: Temperature Dependence of the ESR of a Nanomagnet

Manabu Machida, Toshiaki Iitaka, Seiji Miyashita

Published Nov 28, 2008• 0 citations
Publisher
DOI
10.1007/978-3-540-85625-2_16

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Izvestiya of Altai State University•Jan 1, 2017•1 citation
We introduce an efficient and numerically stable method for calculating linear response functions chi(q,omega) of quantum systems at finite temperatures. The method is a combination of numerical solution of the time-dependent Schrödinger equation, random vector representation of trace, and Chebyshev polynomial expansion of Boltzmann operator. This method should be very useful for a wide range of strongly correlated quantum systems at finite temperatures. We present an application to the ESR spectrum of s=1 / 2 antiferromagnet Cu benzoate.
Quantum simulation promises to advance materials discovery by accurately simulating complex states of matter, their microscopic excitations, and macroscopic response functions. The central challenge in resolving the underlying interacting dynamics is to combine high-fidelity evolution with the sophisticated control necessary to manipulate individual quasi-particles in quantum many-body states. Here, we report on high-precision simulation of both linear and non-linear response functions in a 2D XY spin-1/2 magnet using an analog-digital superconducting processor of up to 97 qubits. By interleaving digital gates with analog evolution precisely characterized via Hamiltonian learning, we selectively excite magnons at tunable energy densities. Measuring first the linear magnon response -- a central probe in neutron-scattering experiments -- we extract temperature-dependent spectra and lifetimes. Our results reveal stark variations in magnon decay rates across the Brillouin zone, with enhancement near van Hove singularities and suppression for edge-localized modes. Next, we perform a suite of nonlinear measurements, including the study of self-scattering mechanisms, as well as pump-probe spectroscopy to directly characterize the magnon interactions. While matrix-product state simulations capture the dynamics well in either small systems or at low temperatures, their predictions become inaccurate away from these limits. This work demonstrates precise simulation of the interacting dynamics in quantum magnets, and provides key insights into quasi-particles and their microscopic scattering mechanisms.
The paper presents the results of computer simulation of the generalized Ising model of a quasi-onedimensional nanomagnet by the Monte Carlo method. The simulation is performed for antiferromagnetferromagnet phase transition with periodic boundary conditions. The dynamic scaling ratio Y = v* z and the static scaling relation dv = 2 – α have been verified for the Ising nanomagnet using values of the critical temperature, as well as values of the critical exponents. Temperature dependences of the kinetic critical index and the product of the dynamic critical index Y(T) on the correlation length index of the v* z(T) are constructed for a linear system (cluster) of finite size. The influence of interaction energy of the second, third neighbors, and four-particle interaction on the fulfillment of dynamic and static scaling hypotheses is described. Parameters are found for the dynamic scaling ratio near the critical region to be within the errors. It is shown that the static scaling hypothesis within the framework of the one-dimensional Ising magnet model near the critical region is violated for any type of interaction. However, the relation v + α = 2 is satisfied within the errors for some temperatures. The obtained results are compared with the values for the Ising model with the «dangling ends» boundary conditions.DOI 10.14258/izvasu(2017)4-04