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Application of optimized quantum Monte-Carlo simulation method in study of complex magnetic systems

A Monte Carlo method and magnetic system technology, applied in special data processing applications, quantum computers, design optimization/simulation, etc., can solve problems such as slowing down calculation speed, achieve the effect of increasing calculation speed and overcoming slow convergence

Active Publication Date: 2019-01-11
刘照森
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, these expedient measures greatly slow down the calculation speed, and the author found in recent research that for magnetic systems with complex interactions (such as Dzyaloshinsky-Moriya interaction), the expedient methods may not guarantee the correct magnetic structure simulation

Method used

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  • Application of optimized quantum Monte-Carlo simulation method in study of complex magnetic systems
  • Application of optimized quantum Monte-Carlo simulation method in study of complex magnetic systems
  • Application of optimized quantum Monte-Carlo simulation method in study of complex magnetic systems

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Experimental program
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Embodiment

[0135] In the following, by simulating Bloch-type and Néel-type two-dimensional ferromagnetic and antiferromagnetic skyrmion crystals, the specific application of the OQMC method is discussed, and its correctness and effectiveness are proved. As mentioned earlier, the Hamiltonian of such a two-dimensional system can be written as:

[0136]

[0137] In the formula, when J ij >0, the system is ferromagnetic coupling; when J ij Bloch-type skyrmions can be simulated; if Then the Néel-type skyrmion can be simulated. In order to simplify the model, only the interaction between the nearest neighbor spins is considered in the following four applications, and it is assumed that they are equal everywhere, that is, J ij = J, D ij =D.

Embodiment 1

[0138] Embodiment 1: Bloch-type two-dimensional ferromagnetic skyrmion crystal (Ferromagnetic Skymion Crystal of Bloch-Type)

[0139] A 30×30 square grid is selected, and each grid point has a spin of S=1. To simulate an infinite two-dimensional system, periodic boundary conditions are employed. Uniaxial anisotropy is not considered here. Let J=1K and let D=1.02733K, then according to relevant theory, we know that the periodic distance λ=10 between skyrmions in the weak vertical external magnetic field.

[0140] figure 2 Draw a ferromagnetic skyrmion array with a hexagonal close-packed structure on a square lattice when B=0.12Tesla and T=1K. It has perfect geometric symmetry and a space period of 10, which is consistent with the theoretical and experimental results[23] .

[0141] Here, the external magnetic field is along the z direction, the z component of the spin magnetic moment in the central region of each skyrmion is along the -z direction, and the z component of th...

Embodiment 2

[0142] Embodiment 2: Bloch-type two-dimensional antiferromagnetic skyrmion crystal (Antiferromagnetic SkymionicCrystal of Bloch-Type)

[0143] A 35×35 square grid is used in the simulation, and there is a spin of S=1 on each grid point. Take J=-1K, D=1K (so D / J=-1), and also neglect the effect of uniaxial perpendicular anisotropy. Periodic boundary conditions are used to simulate infinite two-dimensional systems. In the simulation, it was found that when the vertical applied magnetic field intensity satisfies 3.9Tesla≤B≤4.1Tesla, an antiferromagnetic skyrmion array is induced in the low temperature region of T<1.8K; slightly increasing or weakening the applied magnetic field, the antiferromagnetic The skyrmion crystals disappear, replaced by simple antiferromagnetic structures.

[0144] image 3 , 4 The antiferromagnetic skyrmion lattice at B=4Tesla, T=1K is shown. It has perfect symmetry with a space period λ=7. The average value of the z component of the spin in each s...

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Abstract

The invention provides an optimized quantum Monte-Carlo method, which is used for studying magnetic material, belonging to that field of computational physics and computational materials science. Themethod includes: S1, calculating all the physical quantities, including the spin or magnetic moment in the Hamiltonian of the system is a quantum mechanical operator, according to the quantum theory;2, simulating the random orientation of all spins at the initial time; 3, randomly selecting a spin in each step and rotating that spin by a random solid angle; S4, judging whether the new orientation of the spin is accepted or not according to the Metropolis algorithm; S5, if accepted, updating the energy state of the nearest neighbor; 6, judging whether that current cycle is end or not, otherwise, returning to S3; 7, judging whether that current cycle satisfy the convergence condition or the cycle number is greater than an integer, otherwise, returning to S3; S8, calculating and outputtingmagnetic structures and other physical quantities. Because of the application of quantum theory and the optimization of algorithm, the computational speed is greatly improved, and the difficulty thatthe classical simulation method can not solve is overcome.

Description

technical field [0001] The present invention belongs to the field of computational physics and computational materials science. Its theory, model, method and related software developed will be used to simulate the microscopic magnetic structure of the magnetic system, and calculate its magnetization, magnetic susceptibility, hysteresis loop, heat capacity and other macroscopic physical quantity. Background technique [0002] For decades, researchers at home and abroad have generally used two numerical methods, Classical Monte Carlo (Classical Monte Carlo) [1-5] and Micromagnetics (Micromagnetics) [6-9], to simulate the microscopic magnetic structure of magnetic materials. their macroscopic physical properties. [0003] However, both methods are based on classical physics, that is, in the simulation, the spin and magnetic moment in the magnetic system are treated as classical vectors with constant length but rotating in space. Obviously, such a simple processing method will...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/20G06N10/60G06N10/00
Inventor 刘照森
Owner 刘照森
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