Sandesh Kalantre
Sandesh Kalantre
JQI-QuICS Lanczos Graduate Fellow, University of Maryland
Verified email at umd.edu - Homepage
Title
Cited by
Cited by
Year
Machine learning techniques for state recognition and auto-tuning in quantum dots
SS Kalantre, JP Zwolak, S Ragole, X Wu, NM Zimmerman, MD Stewart, ...
npj Quantum Information 5 (1), 1-10, 2019
292019
Autotuning of Double-Dot Devices In Situ with Machine Learning
JP Zwolak, T McJunkin, SS Kalantre, JP Dodson, ER MacQuarrie, ...
Physical review applied 13 (3), 034075, 2020
162020
QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments
JP Zwolak, SS Kalantre, X Wu, S Ragole, JM Taylor
PloS one 13 (10), e0205844, 2018
142018
Supercurrent interference in semiconductor nanowire Josephson junctions
P Sriram, SS Kalantre, K Gharavi, J Baugh, B Muralidharan
Physical Review B 100 (15), 155431, 2019
62019
Josephson Detection of Time Reversal Symmetry Broken Superconductivity in SnTe Nanowires
CJ Trimble, MT Wei, NFQ Yuan, SS Kalantre, P Liu, HJ Han, MG Han, ...
arXiv preprint arXiv:1907.04199, 2019
42019
Ray-based classification framework for high-dimensional data
JP Zwolak, SS Kalantre, T McJunkin, BJ Weber, JM Taylor
arXiv preprint arXiv:2010.00500, 2020
22020
Ray-based framework for state identification in quantum dot devices
JP Zwolak, T McJunkin, SS Kalantre, SF Neyens, ER MacQuarrie, ...
arXiv preprint arXiv:2102.11784, 2021
12021
Anomalous phase dynamics of driven graphene Josephson junctions
SS Kalantre, F Yu, MT Wei, K Watanabe, T Taniguchi, ...
Physical Review Research 2 (2), 023093, 2020
12020
Learning the states of double quantum dot systems: A ray-based approach
J Zwolak, T McJunkin, S Kalantre, S Neyens, E MacQuarrie, L Edge, ...
Bulletin of the American Physical Society 65, 2020
12020
Theoretical bounds on data requirements for the ray-based classification
BJ Weber, SS Kalantre, T McJunkin, JM Taylor, JP Zwolak
arXiv preprint arXiv:2103.09577, 2021
2021
Machine Learning-Based control of 2D Arrays of Quantum Dots
A Izadi Rad, S Kalantre, J Taylor, J Zwolak
Bulletin of the American Physical Society 65, 2020
2020
True machine learning for quantum dot tune-up
J Zwolak, J Taylor, S Kalantre, X Wu
APS March Meeting Abstracts 2019, X34. 001, 2019
2019
Quantum-Transport in Semiconductor Nanowire Josephson Junctions
P Sriram, S Kalantre, K Gharavi, J Baugh, B Muralidharan
APS March Meeting Abstracts 2019, S05. 009, 2019
2019
AC Josephson effect in a capacitively shunted graphene Josephson junction
F Yu, S Kalantre, G Finkelstein, F Amet, J Williams
APS March Meeting Abstracts 2019, L54. 007, 2019
2019
Non-linear dynamical effects and crisis in an RF-driven graphene Josephson junction
S Kalantre, F Yu, J Williams
Bulletin of the American Physical Society 63, 2018
2018
Applying Machine Learning to Quantum-Dot Experiments: Generation of Training Datasets and Auto-tuning
S Kalantre, J Zwolak, X Wu, S Ragole, J Taylor
APS March Meeting Abstracts 2018, K28. 002, 2018
2018
Applying Machine Learning to Quantum-Dot Experiments: Learning from the Data
J Zwolak, S Kalantre, X Wu, S Ragole, J Taylor
APS March Meeting Abstracts 2018, K28. 003, 2018
2018
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Articles 1–17