Barnaby van Straaten

According to our database, Barnaby van Straaten authored at least 7 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Automated electrostatic characterization of quantum dot devices in single- and bilayer heterostructures.

Merritt Losert, Dario Denora, Barnaby van Straaten, Michael Chan, Stefan D. Oosterhout, Lucas Stehouwer, Giordano Scappucci, Menno Veldhorst, Justyna P. Zwolak

CoRR, January, 2026

2025

Towards autonomous time-calibration of large quantum-dot devices: Detection, real-time feedback, and noise spectroscopy.

Anantha S. Rao, Barnaby van Straaten, Valentin John, Cécile X. Yu, Stefan D. Oosterhout, Lucas Stehouwer, Giordano Scappucci, M. D. Stewart Jr., Menno Veldhorst, Francesco Borsoi, Justyna P. Zwolak

CoRR, December, 2025

End-to-End Analysis of Charge Stability Diagrams with Transformers.

Rahul Marchand, Lucas Schorling, Cornelius Carlsson, Jonas Schuff, Barnaby van Straaten, Taylor L. Patti, Federico Fedele, Joshua Ziegler, Parth Girdhar, Pranav Vaidhyanathan, Natalia Ares

CoRR, August, 2025

2024

MAViS: Modular Autonomous Virtualization System for Two-Dimensional Semiconductor Quantum Dot Arrays.

Anantha S. Rao, Donovan Buterakos, Barnaby van Straaten, Valentin John, Cécile X. Yu, Stefan D. Oosterhout, Lucas Stehouwer, Giordano Scappucci, Menno Veldhorst, Francesco Borsoi, Justyna P. Zwolak

CoRR, 2024

Fully autonomous tuning of a spin qubit.

Jonas Schuff, Miguel J. Carballido, Madeleine Kotzagiannidis, Juan Carlos Calvo, Marco Caselli, Jacob Rawling, David L. Craig, Barnaby van Straaten, Brandon Severin, Federico Fedele, Simon Svab, Pierre Chevalier Kwon, Rafael S. Eggli, Taras Patlatiuk, Nathan Korda, Dominik M. Zumbühl, Natalia Ares

CoRR, 2024

2021

Efficient quantum measurement of Pauli operators in the presence of finite sampling error.

Ophelia Crawford, Barnaby van Straaten, Daochen Wang, Thomas Parks, Earl T. Campbell, Stephen Brierley

Quantum, 2021

Bridging the reality gap in quantum devices with physics-aware machine learning.

David L. Craig, H. Moon, Federico Fedele, Dominic T. Lennon, Barnaby van Straaten, Florian Vigneau, Leon C. Camenzind, Dominik M. Zumbühl, G. Andrew D. Briggs, Michael A. Osborne, Dino Sejdinovic, Natalia Ares

CoRR, 2021