Justyna P. Zwolak
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View article: QDFlow: A Python package for physics simulations of quantum dot devices
QDFlow: A Python package for physics simulations of quantum dot devices Open
Recent advances in machine learning (ML) have accelerated progress in calibrating and operating quantum dot (QD) devices. However, most ML approaches rely on access to large, representative datasets designed to capture the full spectrum of…
View article: Modular Autonomous Virtualization System for Two-Dimensional Semiconductor Quantum Dot Arrays
Modular Autonomous Virtualization System for Two-Dimensional Semiconductor Quantum Dot Arrays Open
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 …
View article: Automation of quantum dot measurement analysis via explainable machine learning
Automation of quantum dot measurement analysis via explainable machine learning Open
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 f…
View article: Bootstrapping, Autonomous Testing, and Initialization System for Si/SiGe Multi-quantum Dot Devices
Bootstrapping, Autonomous Testing, and Initialization System for Si/SiGe Multi-quantum Dot Devices Open
Semiconductor quantum dot (QD) devices have become central to advancements in spin-based quantum computing. However, the increasing complexity of modern QD devices makes calibration and control -- particularly at elevated temperatures -- a…
View article: Modular Autonomous Virtualization System for Two-Dimensional Semiconductor Quantum Dot Arrays
Modular Autonomous Virtualization System for Two-Dimensional Semiconductor Quantum Dot Arrays Open
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 …
View article: Data needs and challenges for quantum dot devices automation
Data needs and challenges for quantum dot devices automation Open
Gate-defined quantum dots are a promising candidate system for realizing scalable, coupled qubit systems and serving as a fundamental building block for quantum computers. However, present-day quantum dot devices suffer from imperfections …
View article: Network analysis of graduate program support structures through experiences of various demographic groups
Network analysis of graduate program support structures through experiences of various demographic groups Open
Physics graduate studies are substantial efforts on the part of individual students, departments, and institutions of higher education. Understanding the factors that lead to student success and attrition is crucial for improving these pro…
View article: Autonomous Bootstrapping of Quantum Dot Devices
Autonomous Bootstrapping of Quantum Dot Devices Open
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 proc…
View article: NIST scientific integrity program:
NIST scientific integrity program: Open
This report summarizes the findings of the National Institute of Standards and Technology Scientific Integrity Program assessment of the program for the period between 1 June 2022 and 30 September 2023. It provides an assessment of the cur…
View article: Automation of Quantum Dot Measurement Analysis via Explainable Machine Learning
Automation of Quantum Dot Measurement Analysis via Explainable Machine Learning Open
The rapid development of quantum dot (QD) devices for quantum computing has necessitated more efficient and automated methods for device characterization and tuning. This work demonstrates the feasibility and advantages of applying explain…
View article: Data needs and challenges for quantum dot devices automation
Data needs and challenges for quantum dot devices automation Open
Gate-defined quantum dots are a promising candidate system for realizing scalable, coupled qubit systems and serving as a fundamental building block for quantum computers. However, present-day quantum dot devices suffer from imperfections …
View article: QDA$^2$: A principled approach to automatically annotating charge stability diagrams
QDA$^2$: A principled approach to automatically annotating charge stability diagrams Open
Gate-defined semiconductor quantum dot (QD) arrays are a promising platform for quantum computing. However, presently, the large configuration spaces and inherent noise make tuning of QD devices a nontrivial task and with the increasing nu…
View article: Network analysis of graduate program support structures through experiences of various demographic groups
Network analysis of graduate program support structures through experiences of various demographic groups Open
Physics graduate studies are substantial efforts on the part of individual students, departments, and institutions of higher education. Understanding the factors that lead to student success and attrition is crucial for improving these pro…
View article: Extending Explainable Boosting Machines to Scientific Image Data
Extending Explainable Boosting Machines to Scientific Image Data Open
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 sci…
View article: <i>Colloquium</i>: Advances in automation of quantum dot devices control
<i>Colloquium</i>: Advances in automation of quantum dot devices control Open
Arrays of quantum dots (QDs) are a promising candidate system to realize scalable, coupled qubit systems and serve as a fundamental building block for quantum computers. In such semiconductor quantum systems, devices now have tens of indiv…
View article: Automated extraction of capacitive coupling for quantum dot systems
Automated extraction of capacitive coupling for quantum dot systems Open
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. On…
View article: Dark solitons in Bose–Einstein condensates: a dataset for many-body physics research
Dark solitons in Bose–Einstein condensates: a dataset for many-body physics research Open
We establish a dataset of over experimental images of Bose–Einstein condensates containing solitonic excitations to enable machine learning (ML) for many-body physics research. About % of th…
View article: Tuning arrays with rays: Physics-informed tuning of quantum dot charge states
Tuning arrays with rays: Physics-informed tuning of quantum dot charge states Open
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 h…
View article: Network analysis approach to Likert-style surveys
Network analysis approach to Likert-style surveys Open
Likert-style surveys are a widely used research instrument to assess respondents' preferences, beliefs, or experiences. In this paper, we propose and demonstrate how network analysis (NA) can be employed to model and evaluate the interconn…
View article: Combining machine learning with physics: A framework for tracking and sorting multiple dark solitons
Combining machine learning with physics: A framework for tracking and sorting multiple dark solitons Open
In ultracold-atom experiments, data often comes in the form of images which suffer information loss inherent in the techniques used to prepare and measure the system. This is particularly problematic when the processes of interest are comp…
View article: Dark solitons in Bose-Einstein condensates: a dataset for many-body physics research
Dark solitons in Bose-Einstein condensates: a dataset for many-body physics research Open
We establish a dataset of over $1.6\times10^4$ experimental images of Bose--Einstein condensates containing solitonic excitations to enable machine learning (ML) for many-body physics research. About $33~\%$ of this dataset has manually as…
View article: Toward Robust Autotuning of Noisy Quantum dot Devices
Toward Robust Autotuning of Noisy Quantum dot Devices Open
The current autotuning approaches for quantum dot (QD) devices, while showing some success, lack an assessment of data reliability. This leads to unexpected failures when noisy or otherwise low-quality data is processed by an autonomous sy…
View article: Restoring the structure: A modular analysis of ego-driven organizational networks
Restoring the structure: A modular analysis of ego-driven organizational networks Open
Organizational network analysis (ONA) is a method for studying interactions within formal organizations. The utility of ONA has grown substantially over the years as means to analyze the relationships developed within and between teams, de…
View article: Colloquium: Advances in automation of quantum dot devices control
Colloquium: Advances in automation of quantum dot devices control Open
Arrays of quantum dots (QDs) are a promising candidate system to realize scalable, coupled qubit systems and serve as a fundamental building block for quantum computers. In such semiconductor quantum systems, devices now have tens of indiv…
View article: Theoretical Bounds on Data Requirements for the Ray-Based Classification
Theoretical Bounds on Data Requirements for the Ray-Based Classification Open
View article: Combining machine learning with physics: A framework for tracking and sorting multiple dark solitons
Combining machine learning with physics: A framework for tracking and sorting multiple dark solitons Open
In ultracold-atom experiments, data often comes in the form of images which suffer information loss inherent in the techniques used to prepare and measure the system. This is particularly problematic when the processes of interest are comp…
View article: Mapping employee networks through the NIST Interactions Survey
Mapping employee networks through the NIST Interactions Survey Open
As we begin to adopt approaches to help the U.S. National Institute of Standards and Technology (NIST) become a more inclusive organization, we need a way to assess the current level of inclusivity. The extent to which individuals have acc…
View article: Ray-Based Framework for State Identification in Quantum Dot Devices
Ray-Based Framework for State Identification in Quantum Dot Devices Open
Quantum dots (QDs) defined with electrostatic gates are a leading platform for a scalable quantum computing implementation. However, with increasing numbers of qubits, the complexity of the control parameter space also grows. Traditional m…
View article: Survey on gender, equity and inclusion
Survey on gender, equity and inclusion Open
In the fall of 2019, the National Institute of Standards and Technology (NIST) funded threes studies to better understand equity and inclusivity. The present study represents phase three of a sequential, exploratory mixed methods study des…
View article: Ray-based classification framework for high-dimensional data
Ray-based classification framework for high-dimensional data Open
While classification of arbitrary structures in high dimensions may require complete quantitative information, for simple geometrical structures, low-dimensional qualitative information about the boundaries defining the structures can suff…