Justyna P. Zwolak

Automation of quantum dot measurement analysis via explainable machine learning

#1

et al.

(Jan 13, 2025)

Published in:
- Mach.Learn.Sci.Tech. 6 (2025) 1, 015006

pdfDOI

reference search0 citations

BATIS: Bootstrapping, Autonomous Testing, and Initialization System for Quantum Dot Devices

#2

Tyler J. Kovach
(
- Wisconsin U., Madison
)
,
Daniel Schug
(
- Maryland U.
)
,
M.A. Wolfe
(
- Wisconsin U., Madison
)
,
E.R. MacQuarrie
,
Patrick J. Walsh
(
- Wisconsin U., Madison
)

et al.

(Dec 10, 2024)

e-Print:
- 2412.07676 [cond-mat.mes-hall]

pdf

reference search2 citations

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

#3

Anantha S. Rao
(
- Maryland U., College Park and
- Maryland U.
)
,
Donovan Buterakos
(
- Maryland U., College Park and
- NIST, Wash., D.C.
)
,
Barnaby van Straaten
(
- Delft Tech. U.
)
,
Valentin John
(
- Delft Tech. U.
)
,
Cécile X. Yu
(
- Delft Tech. U.
)

et al.

(Nov 19, 2024)

e-Print:
- 2411.12516 [cond-mat.mes-hall]

pdf

reference search3 citations

Autonomous bootstrapping of quantum dot devices

#4

Anton Zubchenko
(
- Bohr Inst.
)
,
Danielle Middlebrooks
(
- NIST, Wash., D.C.
)
,
Torbjørn Rasmussen
(
- Bohr Inst.
)
,
Lara Lausen
(
- Bohr Inst.
)
,
Ferdinand Kuemmeth
(
- Bohr Inst.
)

et al.

(Jul 29, 2024)

Published in:
- Phys.Rev.Applied 23 (2025) 1, 014072
•
e-Print:
- 2407.20061 [cond-mat.mes-hall]

pdfDOI

reference search5 citations

Data needs and challenges for quantum dot devices automation

#5

Justyna P. Zwolak
(
- NIST, Wash., D.C. and
- Maryland U., College Park and
- Maryland U.
)
,
Jacob M. Taylor
(
)
,
Reed W. Andrews
(
- Hughes Res. Labs, Malibu
)
,
Jared Benson
(
- Wisconsin U., Madison
)
,
Garnett W. Bryant
(
- NIST, Wash., D.C.
)

et al.

(Dec 21, 2023)

Published in:
- npj Quantum Inf. 10 (2024) 105
•
e-Print:
- 2312.14322 [cond-mat.mes-hall]

pdfDOI

reference search4 citations

QDA

^2

: A principled approach to automatically annotating charge stability diagrams

#6

(Dec 18, 2023)

e-Print:
- 2312.11206 [cond-mat.mes-hall]

pdf

reference search2 citations

Extending Explainable Boosting Machines to Scientific Image Data

#7

(May 25, 2023)

e-Print:
- 2305.16526 [cs.CV]

pdf

reference search0 citations

Automated Extraction of Capacitive Coupling for Quantum Dot Systems

#8

Joshua Ziegler
(
- NIST, Wash., D.C.
)
,
Florian Luthi
(
- Unlisted, US
)
,
Mick Ramsey
(
- Unlisted, US
)
,
Felix Borjans
(
- Unlisted, US
)
,
Guoji Zheng
(
- Unlisted, US
)

et al.

(Jan 20, 2023)

Published in:
- Phys.Rev.Applied 19 (2023) 5, 054077
•
e-Print:
- 2301.08654 [cond-mat.mes-hall]

pdfDOI

reference search13 citations

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

#9

et al.

(Sep 8, 2022)

Published in:
- Phys.Rev.Applied 20 (2023) 3, 034067
•
e-Print:
- 2209.03837 [cond-mat.mes-hall]

pdfDOI

reference search14 citations

Dark solitons in Bose–Einstein condensates: a dataset for many-body physics research

#10

(May 17, 2022)

Published in:
- Mach.Learn.Sci.Tech. 3 (2022) 4, 047001
•
e-Print:
- 2205.09114 [cond-mat.quant-gas]

DOI

reference search1 citation

Colloquium: Advances in automation of quantum dot devices control

#11

(Dec 17, 2021)

Published in:
- Rev.Mod.Phys. 95 (2023) 1, 011006
•
e-Print:
- 2112.09362 [quant-ph]

pdfDOI

reference search37 citations

Combining machine learning with physics: A framework for tracking and sorting multiple dark solitons

#12

(Nov 8, 2021)

Published in:
- Phys.Rev.Res. 4 (2022) 2, 023163
•
e-Print:
- 2111.04881 [cond-mat.quant-gas]

pdfDOI

reference search2 citations

Toward Robust Autotuning of Noisy Quantum Dot Devices

#13

Joshua Ziegler
(
- NIST, Wash., D.C.
)
,
Thomas McJunkin
(
- NIST, Wash., D.C. and
- Wisconsin U., Madison
)
,
E.S. Joseph
(
- Wisconsin U., Madison
)
,
Sandesh S. Kalantre
(
- Maryland U. and
- Maryland U., College Park
)
,
Benjamin Harpt
(
- Wisconsin U., Madison
)

et al.

(Jul 30, 2021)

Published in:
- Phys.Rev.Applied 17 (2022) 024069
•
e-Print:
- 2108.00043 [quant-ph]

pdfDOI

reference search24 citations

Ray-based classification framework for high-dimensional data

#14

Justyna P. Zwolak
(
- NIST, Wash., D.C.
)
,
Sandesh S. Kalantre
(
- Maryland U.
)
,
Thomas McJunkin
(
- Wisconsin U., Madison
)
,
Brian J. Weber
(
- ShanghaiTech U.
)
,
Jacob M. Taylor
(
- NIST, Wash., D.C.
)

(Oct 1, 2020)

e-Print:
- 2010.00500 [cs.LG]

pdf

reference search3 citations

Autotuning of Double-Dot Devices In Situ with Machine Learning

#15

Justyna P. Zwolak
(
- NIST, Wash., D.C.
)
,
Thomas McJunkin
(
- Wisconsin U., Madison
)
,
Sandesh S. Kalantre
(
- Maryland U.
)
,
J.P. Dodson
(
- Wisconsin U., Madison
)
,
E.R. MacQuarrie
(
- Wisconsin U., Madison
)

et al.

(Mar 31, 2020)

Published in:
- Phys.Rev.Applied 13 (2020) 3, 034075

DOI

reference search48 citations

QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments

#16

(Oct 17, 2018)

Published in:
- PLoS One 13 (2018) 10, e0205844

pdfDOI

reference search16 citations

Machine learning techniques for state recognition and auto-tuning in quantum dots

#17

Sandesh S. Kalantre
(
)
,
Justyna P. Zwolak
(
- Maryland U., College Park and
- NIST, Wash., D.C.
)
,
Stephen Ragole
(
- Maryland U., College Park and
- Maryland U.
)
,
Xingyao Wu
(
- Maryland U., College Park and
- Maryland U.
)
,
Neil M. Zimmerman
(
- NIST, Wash., D.C.
)

et al.

(Dec 13, 2017)

Published in:
- npj Quantum Inf. 5 (2019) 6
•
e-Print:
- 1712.04914 [quant-ph]

DOI

reference search48 citations

Justyna P. Zwolak(
NIST, Boulder
)

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Justyna P. Zwolak(NIST, Boulder)

Date of paper

Number of authors

Exclude RPP

Document Type

Collaborators

Affiliations

Justyna P. Zwolak(
NIST, Boulder
)