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Meeting MS&T24: Materials Science & Technology
Symposium Advances in Multiphysics Modeling and Multi-modal Imaging of Functional Materials
Presentation Title Advances in THz Nano-Imaging: from Qubit Circuits to Topological Edge States
Author(s) Jigang Wang, Samuel J Haeuser, Richard H.J. Kim
On-Site Speaker (Planned) Jigang Wang
Abstract Scope Quantum computing with superconducting qubits faces a formidable challenge: decoherence, which introduces errors to cumulative gate operations. To overcome this hurdle, understanding the intricacies of electronic-photonic heterogeneity arising from interface and boundary imperfections at low energy scales is crucial. Specifically, exploring how this heterogeneity impacts superconducting properties, especially within the terahertz (THz) frequency range, is essential. Our approach involves leveraging THz scattering type scanning near-field optical microscopy (THz-sSNOM) to probe qubit devices non-destructively at the nanoscale. In our study, we've observed distinct features within these components and correlated them with measured coherent times. Additionally, we conduct cryogenic magneto-THz imaging to explore topological edge transport, utilizing our instrument's capabilities under extreme conditions of 2 K temperature and 5 T magnetic field. This endeavor provides crucial insights into our ongoing development aimed at comprehensively studying decoherence effects under real qubit operation conditions.

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

A Thermodynamically Consistent Model for Yield Stress Fluids
Advances in THz Nano-Imaging: from Qubit Circuits to Topological Edge States
Analytical Model and Dynamical Phase-Field simulations of Terahertz Susceptibility in Ferroelectrics
Atom-to-Architecture Co-Design of Next-Generation High-Efficiency Microelectronics through High-Fidelity Device Modeling
Automated Quantification and Quality of Piezo Force Microscopy Results Especially for Polycrystalline Piezoelectrics
Chemo-Mechanical Origin of Accelerated Oxidation Near the Surface Flaws
Construction of Coarse-Grained Molecular Dynamics with Many-Body Non-Markovian Memory
Deep Operator Learning for Battery Characterization: From Materials to Systems
Determining Heterogeneous Elastic Properties of Soft Materials Using Physics-Informed Neural Networks
Equilibrium and Nonequilibrium Thermodynamics of Ferroics
Explicit Separation of Edge and Screw Dislocation Mobility and Density Evolution Law in BCC Single Crystal Plasticity Model
Fouriera: Automated Spectral Methods for Multiphysics Problems via Symbolic Computing
Identifying Internal Process Order Parameters in Nonstoichiometric Oxides Described by Sublattice Model
Insight into optical control of ferroelectrics using Density Functional Theory
Integration of Phase-Field Model and Fast Fourier Transform-Based Crystal Plasticity with Geometrically Necessary Dislocations to Model Simulate Microstructure Evolution of Gradient Grained Metals
Location Preference of Boron and Nitrogen Dopants at Graphene/Copper Interface
Molecular Dynamic Simulation of Pectin and Cellulose Nanocrystals Composites
Nanocomposite Electrical Generators: A Multiscale Approach
Nanoscale Magnetic Imaging Using Polarised X-Rays
Nonparametric Learning of Kernels in Nonlocal Operators
Probing Short-Wavelength Magnonics Using IR-Band Stroboscope
The Cheap Stochastic Surrogate Model for the Precipitation Quasi-Geostrophic Equations
Thermodynamics and Ultrafast Evolution of Nanoscale Polar Structures
Ultrafast X-Ray Imaging and Dynamics in Functional Complex Oxides: Nanoscale Transformations and Dynamical Modes
X-Ray Ptychographic Tomography at the Diamond Light Source

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