Search Results - "Zwolak, Justyna P."
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QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments
Published in PloS one (17-10-2018)“…Over the past decade, machine learning techniques have revolutionized how research and science are done, from designing new materials and predicting their…”
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2
Machine learning techniques for state recognition and auto-tuning in quantum dots
Published in npj quantum information (21-01-2019)“…Recent progress in building large-scale quantum devices for exploring quantum computing and simulation has relied upon effective tools for achieving and…”
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3
Linking Engagement and Performance: The Social Network Analysis Perspective
Published in Physical review. Physics education research (12-12-2019)“…Theories developed by Tinto and Nora identify academic performance, learning gains, and involvement in learning communities as significant facets of student…”
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Practitioner's Guide to Social Network Analysis: Examining Physics Anxiety in an Active-Learning Setting
Published in Physical review. Physics education research (01-07-2019)“…The application of social network analysis (SNA) has recently grown prevalent in science, technology, engineering, and mathematics education research. Research…”
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Students' Network Integration as a Predictor of Persistence in Introductory Physics Courses
Published in Physical review. Physics education research (10-03-2017)“…Increasing student retention (successfully finishing a particular course) and persistence (continuing through a sequence of courses or the major area of study)…”
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Educational Commitment and Social Networking: The Power of Informal Networks
Published in Physical review. Physics education research (01-01-2018)“…The lack of an engaging pedagogy and the highly competitive atmosphere in introductory science courses tend to discourage students from pursuing science,…”
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7
Network Analysis Approach to Likert-Style Surveys
Published in Physical Review Physics Education Research (01-09-2022)“…Likert-style surveys are a widely used research instrument to assess respondents' preferences, beliefs, or experiences. In this paper, we propose and…”
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Beyond Performance Metrics: Examining a Decrease in Students' Physics Self-Efficacy through a Social Networks Lens
Published in Physical review. Physics education research (01-08-2016)“…The Modeling Instruction (MI) approach to introductory physics manifests significant increases in student conceptual understanding and attitudes toward…”
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9
Ray-based framework for state identification in quantum dot devices
Published in PRX quantum (01-06-2021)“…Quantum dots (QDs) defined with electrostatic gates are a leading platform for a scalable quantum computing implementation. However, with increasing numbers of…”
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Dark solitons in Bose–Einstein condensates: a dataset for many-body physics research
Published in Machine learning: science and technology (01-12-2022)“…Abstract We establish a dataset of over 1.6 × 10 4 experimental images of Bose–Einstein condensates containing solitonic excitations to enable machine learning…”
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Data needs and challenges for quantum dot devices automation
Published in npj quantum information (31-10-2024)“…Gate-defined quantum dots are a promising candidate system for realizing scalable, coupled qubit systems and serving as a fundamental building block for…”
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Assessing Student Reasoning in Upper-Division Electricity and Magnetism at Oregon State University
Published in Physical review special topics. Physics education research (23-09-2015)“…Standardized assessment tests that allow researchers to compare the performance of students under various curricula are highly desirable. There are several…”
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Isolating Approaches: How Middle-Division Physics Students Coordinate Forms and Representations in Complex Algebra
Published in Physical review. Physics education research (01-06-2019)“…Mathematical reasoning with algebraic and geometric representations is essential for success in upperdivision and graduate-level physics courses. Complex…”
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14
Colloquium: Advances in automation of quantum dot devices control
Published in Reviews of modern physics (01-01-2023)“…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…”
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15
Network analysis of graduate program support structures through experiences of various demographic groups
Published in Physical review. Physics education research (01-08-2024)“…Physics graduate studies are substantial efforts on the part of individual students, departments, and institutions of higher education. Understanding the…”
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Machine-learning enhanced dark soliton detection in Bose–Einstein condensates
Published in Machine learning: science and technology (01-09-2021)“…Most data in cold-atom experiments comes from images, the analysis of which is limited by our preconceptions of the patterns that could be present in the data…”
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Combining machine learning with physics: A framework for tracking and sorting multiple dark solitons
Published in Physical review research (01-05-2022)“…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…”
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New Tools for Investigating Positive Maps in Matrix Algebras
Published in Reports on mathematical physics (01-04-2013)“…We provide a novel tool which may be used to construct new examples of positive maps in matrix algebras (or, equivalently, entanglement witnesses). It turns…”
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Stability of Frustration-Free Hamiltonians
Published in Communications in mathematical physics (01-09-2013)“…We prove stability of the spectral gap for gapped, frustration-free Hamiltonians under general, quasi-local perturbations. We present a necessary and…”
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QDA$^2$: A principled approach to automatically annotating charge stability diagrams
Published 18-12-2023“…Gate-defined semiconductor quantum dot (QD) arrays are a promising platform for quantum computing. However, presently, the large configuration spaces and…”
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