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Mathematics & Statistics

Image & signal processing

Search Publications

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Displaying 1 - 25 of 311

Quasi-Deterministic Channel Propagation Model for Human Sensing: Gesture Recognition Use Case

July 9, 2025
Author(s)
Jack Chuang, Raied Caromi, Jelena Senic, Samuel Berweger, Neeraj Varshney, Jian Wang, Anuraag Bodi, Camillo Gentile, Nada Golmie
We describe a quasi-determinstic channel propagation model for human gesture recognition reduced from real-time measurements with our context aware channel sounder, considering four human subjects and 20 distinct body motions, for a total of 120,000

Modular Autonomous Virtualization System for Two-Dimensional Semiconductor Quantum Dot Arrays

April 30, 2025
Author(s)
Anantha Rao, Donovan Buterakos, Barnaby van Straaten, Valentin John, Cecile Yu, Stefan Oosterhout, Lucas Stehouwer, Giordano Scappucci, Menno Veldhorst, Francesco Borsoi, Justyna Zwolak
Arrays of gate-defined semiconductor quantum dots are among the leading candidates for building scalable quantum processors. High-fidelity initialization, control, and readout of spin qubit registers require exquisite and targeted control over key

IMPPY3D: Image Processing in Python for 3D Image Stacks

April 2, 2025
Author(s)
Newell Moser, Alexander Landauer, Orion Kafka
Image Processing in Python for 3D image stacks, or IMPPY3D, is a free and open-source software (FOSS) repository that simplifies post-processing and 3D shape characterization for grayscale image stacks, otherwise known as volumetric images, 3D images, or

Autonomous bootstrapping of quantum dot devices

January 28, 2025
Author(s)
Anton Zubchenko, Danielle Middlebrooks, Torbjoern Rasmussen, Lara Lausen, Ferdinand Kuemmeth, Anasua Chatterjee, Justyna Zwolak
Semiconductor quantum dots (QDs) are a promising platform for multiple different qubit implementations, all of which are voltage controlled by programmable gate electrodes. However, as the QD arrays grow in size and complexity, tuning procedures that can

Automation of Quantum Dot Measurement Analysis via Explainable Machine Learning

January 13, 2025
Author(s)
Daniel Schug, Tyler Kovach, Michael Wolfe, Jared Benson, Sanghyeok Park, J. P. Dodson, Joelle Corrigan, Mark Eriksson, Justyna Zwolak
The rapid development of quantum dot (QD) devices for quantum computing has necessitated more efficient and automated methods for device characterization and tuning. Many of the measurements acquired during the tuning process come in the form of images

Parallel 3D Temperature Image Reconstruction Using Multi-Color Magnetic Particle Imaging (MPI)

October 18, 2024
Author(s)
Klaus Natorf Quelhas, Mark-Alexander Henn, Ricardo Cordeiro de Farias, Weston L. Tew, Solomon I. Woods
Magnetic Particle Imaging (MPI) is a novel technique developed for remotely detecting magnetic nanoparticle (MNP) tracers, with great potential for biomedical imaging (as an alternative to traditional methods like MRI or CT), cell tracking, targeted drug

Measurement-Based Prediction of mmWave Channel Parameters Using Deep Learning and Point Cloud

August 2, 2024
Author(s)
Anuraag Bodi, Raied Caromi, Jian Wang, Jelena Senic, Camillo Gentile, Hang Mi, Bo Ai, Ruisi He
Millimeter-wave (MmWave) channel characteristics are quite different from sub-6 GHz frequency bands. The major differences include higher path loss and sparser multipath components (MPCs), resulting in more significant time-varying characteristics in

Multi-frequency Antenna Metrology with Sparse Measurements

July 10, 2024
Author(s)
Marc Valdez, Angela Folz, Michael Wakin, Joshua Gordon
We examine different approaches for compressive sensing in broadband antenna radiation pattern measurements, a common tool in antenna metrology. We focus on spherical near-field measurements and seek improved reductions in the needed number of measurements

GPU-accelerated parallel image reconstruction strategies for magnetic particle imaging

June 24, 2024
Author(s)
Klaus Natorf Quelhas, Mark-Alexander Henn, Ricardo Farias, Weston L. Tew, Solomon I. Woods
Image reconstruction is a fundamental step in Magnetic Particle Imaging (MPI). Since it was developed, several methods have been studied to perform more efficient and accurate reconstructions. One of the challenges of MPI is the fact that the

Explainable Classification Techniques for Quantum Dot Device Measurements

March 12, 2024
Author(s)
Daniel Schug, Tyler Kovach, Jared Benson, Mark Eriksson, Justyna Zwolak
In the physical sciences, there is an increased need for robust feature representations of image data: image acquisition, in the generalized sense of two-dimensional data, is now widespread across a large number of fields, including quantum information

An Open Source Iris Segmentation Algorithm for Non-ideal Images

March 7, 2024
Author(s)
George W. Quinn
This document describes a new approach to localizing the iris boundaries in non-ideal iris images. The proposed algorithm starts by applying a series of morphological operations to enhance the salience of the iris boundaries while mitigating the impact of

Extending Explainable Boosting Machines to Scientific Image Data

November 30, 2023
Author(s)
Daniel Schug, Sai Yerramreddy, Rich Caruana, Craig Greenberg, Justyna Zwolak
As the deployment of computer vision technology becomes increasingly common in science, the need for explanations of the system and its output has become a focus of great concern. Driven by the pressing need for interpretable models in science, we propose

Tuning Arrays with Rays: Physics-Informed Tuning of Quantum Dot Charge States

September 28, 2023
Author(s)
Joshua Ziegler, Florian Luthi, Mick Ramsey, Felix Borjans, Guoji Zheng, Justyna Zwolak
Quantum computers based on gate-defined quantum dots (QDs) are expected to scale. However, as the number of qubits increases, the burden of manually calibrating these systems becomes unreasonable and autonomous tuning must be used. There has been a range

Assessment of Dose Reduction Strategies in Wavelength-Selective Neutron Tomography

July 31, 2023
Author(s)
Daniel Hussey, Peter Bajcsy, Paul A. Kienzle, Jacob LaManna, David Jacobson, Victoria DiStefano, Daniel Pelt, James Sethian
The goal of this study is to determine variable relationships and a computational workflow that yield the highest quality of three-dimensional reconstructions in neutron imaging applications with reduced number of projections angles. Neutrons interact with

Cluster Association for 3D Environment Based on 60 GHz Indoor Channel Measurements

May 31, 2023
Author(s)
Raied Caromi, Jian Wang, Anuraag Bodi, Camillo Gentile
In this paper, we present a ray tracing (RT) assisted multipath cluster association method. This work is based on an indoor channel measurement at 60 GHz, where a light detection and ranging (LiDAR) sensor was co-located with channel sounder and time

Automated extraction of capacitive coupling for quantum dot systems

May 24, 2023
Author(s)
Joshua Ziegler, Florian Luthi, Mick Ramsey, Felix Borjans, Guoji Zheng, Justyna Zwolak
Gate-defined quantum dots (QDs) have appealing attributes as a quantum computing platform. However, near-term devices possess a range of possible imperfections that need to be accounted for during the tuning and operation of QD devices. One such problem is

Investigating the Harmonic Dependence of MPI Resolution

March 19, 2023
Author(s)
Mark-Alexander Henn, Thinh Bui, Solomon I. Woods
In this work we investigate how the MPI resolution changes as a function of signal harmonics. Based on a simulation study that models a lock-in measurement of the point spread function we apply our findings to actual measurement data obtained from NIST's
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