activity
20142026
most citedAuto-tuning of double dot devices in situ with machine learning

75 citations · 491 across the 18 of their papers we have counts for

collaborators
Showing 2021Show all

7 papers · 1 filter

quant-ph2021★ 70 cited

SiGe quantum wells with oscillating Ge concentrations for quantum dot qubits

Thomas McJunkin, Benjamin Harpt, Yi Feng +10

Large-scale arrays of quantum-dot spin qubits in Si/SiGe quantum wells require large or tunable energy splittings of the valley states associated with degenerate conduction band mi…

quant-ph2021★ 36 cited

Toward Robust Autotuning of Noisy Quantum Dot Devices

Joshua Ziegler, Thomas McJunkin, E. S. Joseph +7

The current autotuning approaches for quantum dot (QD) devices, while showing some success, lack an assessment of data reliability. This leads to unexpected failures when noisy or…

cond-mat.mes-hall2021★ 46 cited

Valley splittings in Si/SiGe quantum dots with a germanium spike in the silicon well

Thomas McJunkin, E. R. MacQuarrie, Leah Tom +11

Silicon-germanium heterostructures have successfully hosted quantum dot qubits, but the intrinsic near-degeneracy of the two lowest valley states poses an obstacle to high fidelity…

cond-mat.mes-hall2021★ 37 cited

How valley-orbit states in silicon quantum dots probe quantum well interfaces

J. P. Dodson, H. Ekmel Ercan, J. Corrigan +7

The energies of valley-orbit states in silicon quantum dots are determined by an as yet poorly understood interplay between interface roughness, orbital confinement, and electron i…

cs.LG2021★ 8 cited

Theoretical bounds on data requirements for the ray-based classification

Brian J. Weber, Sandesh S. Kalantre, Thomas McJunkin +2

The problem of classifying high-dimensional shapes in real-world data grows in complexity as the dimension of the space increases. For the case of identifying convex shapes of diff…

quant-ph2021★ 30 cited

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…

cond-mat.mes-hall2021★ 36 cited

Radio frequency reflectometry in silicon-based quantum dots

Y. -Y. Liu, S. G. J. Philips, L. A. Orona +6

RF reflectometry offers a fast and sensitive method for charge sensing and spin readout in gated quantum dots. We focus in this work on the implementation of RF readout in accumula…