Simulating Microwave-Controlled Spin Imaging with Free-Space Electrons

Simulating Microwave-Controlled Spin Imaging with Free-Space Electrons

This repository contains the source code for producing the figures and simulation results presented in the article "Simulating Microwave-Controlled Spin Imaging with Free-Space Electrons". This project implements first-order scattering theory for Transmission Electron Microscopy (TEM) simulations, specifically focusing on imaging single quantum spins.

Context and Methodology

• Research Domain: This dataset was created within the field of Quantum Electron Microscopy and Theoretical Physics, specifically exploring the interaction between free-space electrons and single quantum spins.

• Purpose: The dataset serves to validate the feasibility of imaging single spin dynamics using Transmission Electron Microscopy (TEM). It provides the numerical evidence for the signal-to-noise ratio (SNR) and metrological sensitivity (Fisher Information) discussed in the associated publication.

• Creation Method: The data was generated using a custom Python-based simulation framework implementing first-order scattering theory. It models the phase shifts and momentum transfers experienced by an electron beam passing through a microwave-controlled spin system.

Technical Details

• Structure and Naming: The dataset is organized to mirror the figures in the publication.

  • Real-space data: Files typically contain simulated intensity distributions in the defocused position space.

  • Reciprocal-space data: Files contain diffraction patterns (angle space).

  • Analysis files: CSV or NumPy arrays containing calculated Fisher Information and SNR metrics.

• Software Requirements: Python 3.12.2 is required.

  • Standard scientific libraries: NumPy 1.26.4, SciPy 1.12.0, and Matplotlib 3.8.3.

• Additional Resources: The complete source code for the simulation engine and data analysis protocol is available in the linked repository. Users should refer to the publication "Simulating Microwave-Controlled Spin Imaging with Free-Space Electrons" for the full theoretical derivations.

Further Details

• Contact for Reuse: For specific parameter calibrations or to discuss practical implementations of this simulation code, contact Santiago Beltrán-Romero (santiago.romero@tuwien.ac.at).