9 papers
Fermiology and the Candidate Chiral Superconductor in Rhombohedral Tetralayer Graphene
Sandesh S. Kalantre, Ben H. Alexander, Julian May-Mann +11
Chiral superconductivity, in which the phase of the superconducting order parameter winds in momentum space, has long been sought for its close link to topological superconductivit…
Microwave spin resonance in epitaxial thin films of spin liquid candidate TbInO3
Sandesh S. Kalantre, Johanna Nordlander, Margaret A. Anderson +2
Minimizing the energy of a many body system tends to favor order, but classical frustration and quantum fluctuations destabilize that order. The tension between these effects can p…
QDFlow: A Python package for physics simulations of quantum dot devices
Donovan L. Buterakos, Sandesh S. Kalantre, Joshua Ziegler +2
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, repre…
Ray-based framework for state identification in quantum dot devices
Justyna P. Zwolak, Thomas McJunkin, Sandesh S. Kalantre +4
Quantum dots (QDs) defined with electrostatic gates are a leading platform for a scalable quantum computing implementation. However, with increasing numbers of qubits, the complexi…
Anomalous Phase Dynamics of Driven Graphene Josephson Junctions
S. S. Kalantre, F. Yu, M. T. Wei +5
Josephson junctions with weak-links of exotic materials allow the elucidation of the Josephson effect in previously unexplored regimes. Further, such devices offer a direct probe o…
Auto-tuning of double dot devices in situ with machine learning
Justyna P. Zwolak, Thomas McJunkin, Sandesh S. Kalantre +7
The current practice of manually tuning quantum dots (QDs) for qubit operation is a relatively time-consuming procedure that is inherently impractical for scaling up and applicatio…