Sandesh Kalantre
Sandesh Kalantre
Knight-Hennessy Fellow, Department of Physics, Stanford University
Verified email at - Homepage
Cited by
Cited by
Machine learning techniques for state recognition and auto-tuning in quantum dots
SS Kalantre, JP Zwolak, S Ragole, X Wu, NM Zimmerman, MD Stewart Jr, ...
npj Quantum Information 5 (1), 6, 2019
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
Supercurrent interference in semiconductor nanowire Josephson junctions
P Sriram, SS Kalantre, K Gharavi, J Baugh, B Muralidharan
Physical Review B 100 (15), 155431, 2019
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
Toward robust autotuning of noisy quantum dot devices
J Ziegler, T McJunkin, ES Joseph, SS Kalantre, B Harpt, DE Savage, ...
Physical Review Applied 17 (2), 024069, 2022
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, ...
npj Quantum Materials 6 (1), 61, 2021
Ray-based framework for state identification in quantum dot devices
JP Zwolak, T McJunkin, SS Kalantre, SF Neyens, ER MacQuarrie, ...
PRX Quantum 2 (2), 020335, 2021
Ray-based classification framework for high-dimensional data
JP Zwolak, SS Kalantre, T McJunkin, BJ Weber, JM Taylor
arXiv preprint arXiv:2010.00500, 2020
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
Machine learning techniques for state recognition and auto-tuning in quantum dots. npj Quantum Inf. 5
SS Kalantre, JP Zwolak, S Ragole, X Wu, NM Zimmerman, MD Stewart, ...
Theoretical bounds on data requirements for the ray-based classification
BJ Weber, SS Kalantre, T McJunkin, JM Taylor, JP Zwolak
SN Computer Science 3 (1), 57, 2022
Ray-based classifier apparatus and tuning a device using machine learning with a ray-based classification framework
JP Zwolak, SS Kalantre, JM Taylor, TW McJunkin
US Patent App. 18/028,154, 2023
Robust Automated Recognition of Noisy Quantum Dot States
J Ziegler, T McJunkin, E Joseph, S Kalantre, B Harpt, D Savage, ...
Joshua Ziegler, Thomas McJunkin, Emily Joseph, Sandesh Kalantre, Benjamin …, 2022
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
Probing collective magnetic excitations in twisted bilayer graphene via electron spin resonance spectroscopy
R Kamat, S Kalantre, A Sharpe, K Watanabe, T Taniguchi, M Kastner, ...
Bulletin of the American Physical Society, 2024
Low temperature magneto-transport of epitaxial samarium hexaboride films
S Kalantre, A Bamtefa, J Hoffman, J Hoffman, D Goldhaber-Gordon
Bulletin of the American Physical Society, 2024
Torsional force microscopy of van der Waals moirés and atomic lattices
M Pendharkar, SJ Tran, G Zaborski Jr, J Finney, AL Sharpe, RV Kamat, ...
Proceedings of the National Academy of Sciences 121 (10), e2314083121, 2024
Molecular beam epitaxy growth of SmB6 thin films
A Bamtefa, J Hoffman, S Kalantre, M Andersen, D Goldhaber-Gordon, ...
Bulletin of the American Physical Society, 2024
Electron spin resonance measurements of spin liquid candidate TbInO3 with superconducting resonators
S Kalantre, J Nordlander, M Anderson, J Mundy, D Goldhaber-Gordon
APS March Meeting Abstracts 2023, T55. 006, 2023
Electron Spin Resonance near the Metal Insulator Transition in Phosphorous doped Si
S Kalantre, A Kollar, J Williams
APS March Meeting Abstracts 2022, F63. 010, 2022
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