Quantum Algorithm Framework for Phase-Contrast Transmission Electron Microscopy Image Simulation
Sean D. Lam, Roberto dos Reis

TL;DR
This paper introduces a quantum algorithmic framework for simulating phase-contrast transmission electron microscopy images, enabling potential quantum advantages in specific Fourier-space and phase-coherent tasks over classical methods.
Contribution
It develops a physics-grounded quantum circuit model for CTEM image formation, including validation against classical simulations and resource estimation for quantum implementation.
Findings
Validated quantum simulation against classical models for MoS2
Identified quantum advantage in Fourier-space and phase-coherent tasks
Provided resource estimates and key assumptions for quantum implementation
Abstract
We present a quantum algorithmic framework for simulating phase-contrast transmission electron microscopy (CTEM) image formation using a fault-tolerant, gate-based quantum circuit model. The electron wavefield on an grid is amplitude-encoded into a -qubit register. Free-space propagation and objective-lens aberrations are implemented via two-dimensional quantum Fourier transforms (QFTs) and diagonal phase operators in reciprocal space, while specimen interaction is modeled under the weak phase object approximation (WPOA) as a position-dependent phase grating. We validate projected potentials, contrast transfer function (CTF) behavior, and image contrast trends against classical multislice simulations for MoS over experimentally relevant parameters, and provide resource estimates and key assumptions that determine end-to-end runtime. While extracting complete…
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Taxonomy
TopicsAdvanced Electron Microscopy Techniques and Applications · Quantum Computing Algorithms and Architecture · Electron and X-Ray Spectroscopy Techniques
