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20222025
most citedQArray: a GPU-accelerated constant capacitance model simulator for large quantum dot arrays

6 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.mes-hall2025

Virtual Gates Enabled by Digital Surrogate of Quantum Dot Devices

Alexander Lidiak, Jacob Swain, David L. Craig +12

Advances in quantum technologies are often limited by slow device characterization, complex tuning requirements, and scalability challenges. Spin qubits in electrostatically define…

quant-ph2024★ 2 cited

Rapid optimal work extraction from a quantum-dot information engine

Kushagra Aggarwal, Alberto Rolandi, Yikai Yang +8

The conversion of thermal energy into work is usually more efficient in the slow-driving regime, where the power output is vanishingly small. Efficient work extraction for fast dri…

cond-mat.mes-hall2024★ 6 cited

QArray: a GPU-accelerated constant capacitance model simulator for large quantum dot arrays

Barnaby van Straaten, Joseph Hickie, Lucas Schorling +3

Semiconductor quantum dot arrays are a leading architecture for the development of quantum technologies. Over the years, the constant capacitance model has served as a fundamental…

cond-mat.mes-hall2023

Automated long-range compensation of an rf quantum dot sensor

Joseph Hickie, Barnaby van Straaten, Federico Fedele +6

Charge sensing is a sensitive technique for probing quantum devices, of particular importance for spin qubit readout. To achieve good readout sensitivities, the proximity of the ch…

cond-mat.mes-hall2022★ 4 cited

All rf-based tuning algorithm for quantum devices using machine learning

Barnaby van Straaten, Federico Fedele, Florian Vigneau +7

Radio-frequency measurements could satisfy DiVincenzo's readout criterion in future large-scale solid-state quantum processors, as they allow for high bandwidths and frequency mult…