papers

Publications (11)

cs.AI2022

Muscle Vision: Real Time Keypoint Based Pose Classification of Physical Exercises

Alex Moran, Bart Gebka, Joshua Goldshteyn +3

Recent advances in machine learning technology have enabled highly portable and performant models for many common tasks, especially in image recognition. One emerging field, 3D hum…

eess.SY2020

Deep Reinforcement Learning for DER Cyber-Attack Mitigation

Ciaran Roberts, Sy-Toan Ngo, Alexandre Milesi +7

The increasing penetration of DER with smart-inverter functionality is set to transform the electrical distribution network from a passive system, with fixed injection/consumption,…

cond-mat.mes-hall2023

Coulomb collisions of hot and cold single electrons in series-coupled silicon single-electron pumps

Gento Yamahata, Nathan Johnson, Akira Fujiwara

Control of the Coulomb interaction between single electrons is vital for realizing quantum information processing using flying electrons and, particularly, for the realization of d…

cond-mat.mes-hall2019

Energy relaxation in hot electron quantum optics via acoustic and optical phonon emission

Clive Emary, Lewis A. Clark, Masaya Kataoka +1

We study theoretically the relaxation of hot quantum-Hall edge-channel electrons under the emission of both acoustic and optical phonons. Aiming to model recent experiments with si…

cond-mat.mes-hall2026

A current source with metrological precision made on a 300mm silicon MOS process

Nathan Johnson, Stefan Kubicek, Julien Jussot +5

Although the measurement of current is now defined with respect to the electronic charge, producing a current standard based on a single-electron source remains challenging. The er…

cond-mat.mes-hall2019

Derivation of potential profile of a dynamic quantum dot

Nathan Johnson, Gento Yamahata, Akira Fujiwara

We report a method to derive the potential barrier profile shape in a dynamic quantum dot and show the loading statistics, and hence accuracy of electron transfer, depend significa…

cond-mat.mes-hall2024

High frequency breakdown in quantum dots

Nathan Johnson, Gento Yamahata, Akira Fujiwara

Dynamic quantum dots are known to generate very accurate currents and can be used as a source of single electron wavepackets for use in quantum metrology, sensing or information pr…

cond-mat.mes-hall2026

Radiofrequency cascade readout of coupled spin qubits

Jacob F. Chittock-Wood, Ross C. C. Leon, Michael A. Fogarty +12

Silicon spin qubits based on metal-oxide-semiconductor (MOS) technology are compatible with semiconductor manufacturing and offer a route to scalable quantum processing. However, s…

cond-mat.mes-hall2019

Picosecond coherent electron motion in a silicon single-electron source

Gento Yamahata, Sungguen Ryu, Nathan Johnson +3

Understanding ultrafast coherent electron dynamics is necessary for application of a single-electron source to metrological standards, quantum information processing, including ele…

cond-mat.mtrl-sci2024

Active Learning for Rapid Targeted Synthesis of Compositionally Complex Alloys

Nathan Johnson, Aashwin Ananda Mishra, Apurva Mehta

The next generation of advanced materials is tending toward increasingly complex compositions. Synthesizing precise composition is time-consuming and becomes exponentially demandin…

eess.SY2022

Adaptive Control of Distributed Energy Resources for Distribution Grid Voltage Stability

Daniel Arnold, Shammya Saha, Sy-Toan Ngo +5

Volt-VAR and Volt-Watt functionality in photovoltaic (PV) smart inverters provide mechanisms to ensure system voltage magnitudes and power factors remain within acceptable limits.…