Deep-learning design of graphene metasurfaces for quantum control and Dirac electron holography

• URL: http://arxiv.org/abs/2405.05975v1
• Date: Wed, 1 May 2024 22:31:09 GMT
• Title: Deep-learning design of graphene metasurfaces for quantum control and Dirac electron holography
• Authors: Chen-Di Han, Li-Li Ye, Zin Lin, Vassilios Kovanis, Ying-Cheng Lai,
• Abstract summary: We develop a deep-learning framework for Dirac-material metasurface design for controlling electronic waves. We show that the original scattering wave can be reconstructed with fidelity over 95$%$, suggesting the feasibility of Dirac electron holography. Additional applications such as plane wave generation, designing broadband, and multi-functionality graphene metasurface systems are illustrated.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Metasurfaces are sub-wavelength patterned layers for controlling waves in physical systems. In optics, meta-surfaces are created by materials with different dielectric constants and are capable of unconventional functionalities. We develop a deep-learning framework for Dirac-material metasurface design for controlling electronic waves. The metasurface is a configuration of circular graphene quantum dots, each created by an electric potential. Employing deep convolutional neural networks, we show that the original scattering wave can be reconstructed with fidelity over 95$\%$, suggesting the feasibility of Dirac electron holography. Additional applications such as plane wave generation, designing broadband, and multi-functionality graphene metasurface systems are illustrated.

Related papers

• Canonical Quantization of Cylindrical Waveguides: A Gauge-Based Approach [45.88028371034407]
  We introduce the two field quadratures $X,Y$ of TEM (transverse electric-magnetic) and TM (transverse magnetic) traveling modes.<n>We identify for each a characteristic one-dimensional scalar field governed by a Klein-Gordon type equation.<n>The generalized flux is directly deduced from the electromagnetic potentials $A,V$ by a proper gauge choice.
  arXiv  Detail & Related papers  (2026-02-04T07:54:54Z)
• Gradient Electronic Landscapes in van der Waals Heterostructures [0.0]
  Two-dimensional (2D) materials such as graphene and hexagonal boron nitride (hBN) provide a versatile platform for quantum electronics.<n>Here, we use thermal scanning-probe lithography (tSPL) to produce smooth topographic landscapes in vdW heterostructures.
  arXiv  Detail & Related papers  (2025-08-11T12:11:48Z)
• Exploring Topological Effects in Thin-Film X-Ray Cavities [0.0]
  Quantum control of single x-ray photons can be achieved using thin-film nanostructure cavities with embedded layers of resonant nuclei.<n>We show that the presence of topological edge states can be identified in the reflectivity spectra of the thin-film cavities.
  arXiv  Detail & Related papers  (2025-06-12T11:27:10Z)
• Waveguides in a quantum perspective [49.1574468325115]
  Solid state quantum devices, operated at dilution cryostat temperatures, are relying on microwave signals to drive and read-out their quantum states.<n>Here we report on the quantum theory that describes the simplest Cartesian-type geometries: parallel plates, and rectangular tubes.
  arXiv  Detail & Related papers  (2025-05-20T12:42:07Z)
• Quantum Imaging Using Spatially Entangled Photon Pairs from a Nonlinear Metasurface [0.4188114563181615]
  metasurfaces with subwavelength thickness were recently established as versatile platforms for the enhanced and tailorable generation of entangled photon pairs. Here, we demonstrate the unique benefits and practical potential of nonlinear metasurfaces for quantum imaging at infrared wavelengths. We reconstruct the images of 2D objects using just a 1D detector array in the idler path and a bucket detector in the signal path, by recording the dependencies of photon coincidences on the pump wavelength.
  arXiv  Detail & Related papers  (2024-08-06T02:25:34Z)
• Neural Pfaffians: Solving Many Many-Electron Schrödinger Equations [58.130170155147205]
  Neural wave functions accomplished unprecedented accuracies in approximating the ground state of many-electron systems, though at a high computational cost. Recent works proposed amortizing the cost by learning generalized wave functions across different structures and compounds instead of solving each problem independently. This work tackles the problem by defining overparametrized, fully learnable neural wave functions suitable for generalization across molecules.
  arXiv  Detail & Related papers  (2024-05-23T16:30:51Z)
• A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems [87.30652640973317]
  Recent advances in computational modelling of atomic systems represent them as geometric graphs with atoms embedded as nodes in 3D Euclidean space. Geometric Graph Neural Networks have emerged as the preferred machine learning architecture powering applications ranging from protein structure prediction to molecular simulations and material generation. This paper provides a comprehensive and self-contained overview of the field of Geometric GNNs for 3D atomic systems.
  arXiv  Detail & Related papers  (2023-12-12T18:44:19Z)
• Programmable high-dimensional Hamiltonian in a photonic waveguide array [2.784440641237062]
  We present a programmable waveguide array in which the Hamiltonian terms can be electro-optically tuned to implement various Hamiltonian continuous-time evolutions on a single device. Our architecture's micron-scale local electric fields independently control waveguide coupling coefficients and effective indices. Our platform can enable the study of multiple condensed matter quantum dynamics with a single device.
  arXiv  Detail & Related papers  (2023-11-25T07:32:39Z)
• Real-space detection and manipulation of topological edge modes with ultracold atoms [56.34005280792013]
  We demonstrate an experimental protocol for realizing chiral edge modes in optical lattices. We show how to efficiently prepare particles in these edge modes in three distinct Floquet topological regimes. We study how edge modes emerge at the interface and how the group velocity of the particles is modified as the sharpness of the potential step is varied.
  arXiv  Detail & Related papers  (2023-04-04T17:36:30Z)
• Neural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and Manipulation [54.09274684734721]
  We present a new approach for 3D shape generation, inversion, and manipulation, through a direct generative modeling on a continuous implicit representation in wavelet domain. Specifically, we propose a compact wavelet representation with a pair of coarse and detail coefficient volumes to implicitly represent 3D shapes via truncated signed distance functions and multi-scale biorthogonal wavelets. We may jointly train an encoder network to learn a latent space for inverting shapes, allowing us to enable a rich variety of whole-shape and region-aware shape manipulations.
  arXiv  Detail & Related papers  (2023-02-01T02:47:53Z)
• Electron quantum optics with beam splitters and waveguides in Dirac Matter [0.0]
  splitting of the electron wavefunction is explored for systems supporting Dirac type physics. Electron beam-splitters and superfocusers are analysed along with propagation through nanoribbons.
  arXiv  Detail & Related papers  (2022-04-18T13:24:06Z)
• Multifunctional Meta-Optic Systems: Inversely Designed with Artificial Intelligence [1.076210145983805]
  We present an artificial intelligence framework for designing multilayer meta-optic systems with multifunctional capabilities. We demonstrate examples of a polarization-multiplexed dual-functional beam generator, a second order differentiator for all-optical computation, and a space-polarization-wavelength multiplexed hologram.
  arXiv  Detail & Related papers  (2020-06-30T22:15:15Z)
• Topological photon pairs in a superconducting quantum metamaterial [44.62475518267084]
  We use an array of superconducting qubits to engineer a nontrivial quantum metamaterial. By performing microwave spectroscopy of the fabricated array, we experimentally observe the spectrum of elementary excitations. We find not only the single-photon topological states but also the bands of exotic bound photon pairs arising due to the inherent anharmonicity of qubits.
  arXiv  Detail & Related papers  (2020-06-23T07:04:27Z)
• Quantum electrodynamics in a topological waveguide [47.187609203210705]
  In this work we investigate the properties of superconducting qubits coupled to a metamaterial waveguide based on a photonic analog of the Su-Schrieffer-Heeger model. We explore topologically-induced properties of qubits coupled to such a waveguide, ranging from the formation of directional qubit-photon bound states to topology-dependent cooperative radiation effects.
  arXiv  Detail & Related papers  (2020-05-08T00:22:17Z)
• Entanglement generation via power-of-SWAP operations between dynamic electron-spin qubits [62.997667081978825]
  Surface acoustic waves (SAWs) can create moving quantum dots in piezoelectric materials. We show how electron-spin qubits located on dynamic quantum dots can be entangled.
  arXiv  Detail & Related papers  (2020-01-15T19:00:01Z)
• A Freeform Dielectric Metasurface Modeling Approach Based on Deep Neural Networks [7.039798390237901]
  In this paper, a deep learning-based metasurface/meta-atom modeling approach is introduced to significantly reduce the characterization time. Based on a convolutional neural network (CNN) structure, the proposed deep learning network is able to model meta-atoms with free-form 2D patterns and different lattice sizes. The presented approach features the capability to predict meta-atoms' wide spectrum responses in the timescale of milliseconds.
  arXiv  Detail & Related papers  (2020-01-01T01:21:36Z)

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.