Inverse magneto-conductance design by automatic differentiation

• URL: http://arxiv.org/abs/2409.02009v2
• Date: Fri, 25 Oct 2024 20:40:32 GMT
• Title: Inverse magneto-conductance design by automatic differentiation
• Authors: Yuta Hirasaki, Koji Inui, Eiji Saitoh,
• Abstract summary: We propose an inverse design method to automatically generate a microscopic structure that exhibits desired magneto-conductance patterns. We numerically demonstrate that our method accurately generates defect positions in wires and can be effectively applied to various complicated patterns.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Magneto-conductance in thin wires often exhibits complicated patterns due to the quantum interference of conduction electrons. These patterns reflect microscopic structures in the wires, such as defects or potential distributions. In this study, we propose an inverse design method to automatically generate a microscopic structure that exhibits desired magneto-conductance patterns. We numerically demonstrate that our method accurately generates defect positions in wires and can be effectively applied to various complicated patterns. We also discuss techniques for designing structures that facilitate experimental investigation.

Related papers

• Automated Discovery of Coupled Mode Setups [7.555791623885635]
  In optics and photonics, a small number of building blocks, like resonators, waveguides, arbitrary couplings, and parametric interactions, allow the design of a broad variety of devices and functionalities. Usually, the design of such a system is handcrafted by an experienced scientist in a time-consuming process where it remains uncertain whether the simplest possibility has indeed been found. In our work, we develop a discovery algorithm that automates this challenge.
  arXiv  Detail & Related papers  (2024-04-23T10:15:18Z)
• Inverse solving the Schrödinger equation for precision alignment of a microcavity [0.0]
  We apply solution strategies for inverse problems to determine and control the relative orientation of two mirrors forming an optical microcavity. Our approach employs the inversion of the Schr"odinger equation to reconstruct the effective potential landscape. Our method consistently achieves an angle resolution of order 100 nanoradians per measurement.
  arXiv  Detail & Related papers  (2024-04-11T14:03:01Z)
• Unveiling Exotic Magnetic Phases in Fibonacci Quasicrystalline Stacking of Ferromagnetic Layers through Machine Learning [0.0]
  We study a Fibonacci quasicrystalline stacking of ferromagnetic layers, potentially realizable using van der Waals magnetic materials. We construct a model of this magnetic heterostructure, that displays a complex relationship between geometric frustration and magnetic order in this quasicrystalline system. We employ a machine learning approach, which proves to be a powerful tool in revealing the complex magnetic behavior of this system.
  arXiv  Detail & Related papers  (2023-07-29T19:03:12Z)
• Measuring the magnon-photon coupling in shaped ferromagnets: tuning of the resonance frequency [50.591267188664666]
  cavity photons and ferromagnetic spins excitations can exchange information coherently in hybrid architectures. Speed enhancement is usually achieved by optimizing the geometry of the electromagnetic cavity. We show that the geometry of the ferromagnet plays also an important role, by setting the fundamental frequency of the magnonic resonator.
  arXiv  Detail & Related papers  (2022-07-08T11:28:31Z)
• Slowing down light in a qubit metamaterial [98.00295925462214]
  superconducting circuits in the microwave domain still lack such devices. We demonstrate slowing down electromagnetic waves in a superconducting metamaterial composed of eight qubits coupled to a common waveguide. Our findings demonstrate high flexibility of superconducting circuits to realize custom band structures.
  arXiv  Detail & Related papers  (2022-02-14T20:55:10Z)
• Disentangling multiple scattering with deep learning: application to strain mapping from electron diffraction patterns [48.53244254413104]
  We implement a deep neural network called FCU-Net to invert highly nonlinear electron diffraction patterns into quantitative structure factor images. We trained the FCU-Net using over 200,000 unique dynamical diffraction patterns which include many different combinations of crystal structures. Our simulated diffraction pattern library, implementation of FCU-Net, and trained model weights are freely available in open source repositories.
  arXiv  Detail & Related papers  (2022-02-01T03:53:39Z)
• Low dephasing and robust micromagnet designs for silicon spin qubits [0.0]
  We describe a magnet design that minimizes qubit dephasing, while allowing for fast qubit control and addressability. The micromagnet-induced dephasing rates with this design are up to 3-orders of magnitude lower than state-of-the-art implementations.
  arXiv  Detail & Related papers  (2021-08-24T14:27:57Z)
• A low-loss ferrite circulator as a tunable chiral quantum system [108.66477491099887]
  We demonstrate a low-loss waveguide circulator constructed with single-crystalline yttrium iron garnet (YIG) in a 3D cavity. We show the coherent coupling of its chiral internal modes with integrated superconducting niobium cavities. We also probe experimentally the effective non-Hermitian dynamics of this system and its effective non-reciprocal eigenmodes.
  arXiv  Detail & Related papers  (2021-06-21T17:34:02Z)
• General quantum-mechanical solution for twisted electrons in a uniform magnetic field [68.8204255655161]
  A theory of twisted (and other structured) paraxial electrons in a uniform magnetic field is developed. The observable effect of a different behavior of relativistic Laguerre-Gauss beams with opposite directions of the orbital angular momentum penetrating from the free space into a magnetic field is predicted.
  arXiv  Detail & Related papers  (2020-05-13T16:35:10Z)
• Quantum coherent spin-electric control in a molecular nanomagnet at clock transitions [57.50861918173065]
  Electrical control of spins at the nanoscale offers architectural advantages in spintronics. Recent demonstrations of electric-field (E-field) sensitivities in molecular spin materials are tantalising. E-field sensitivities reported so far are rather weak, prompting the question of how to design molecules with stronger spin-electric couplings.
  arXiv  Detail & Related papers  (2020-05-03T09:27:31Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.