48 citations · 138 across the 9 of their papers we have counts for
6 papers · 1 filter
End-to-End Analysis of Charge Stability Diagrams with Transformers
Rahul Marchand, Lucas Schorling, Cornelius Carlsson +8
Transformer models and end-to-end learning frameworks are rapidly revolutionizing the field of artificial intelligence. In this work, we apply object detection transformers to anal…
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…
Fully autonomous tuning of a spin qubit
Jonas Schuff, Miguel J. Carballido, Madeleine Kotzagiannidis +14
Spanning over two decades, the study of qubits in semiconductors for quantum computing has yielded significant breakthroughs. However, the development of large-scale semiconductor…
Compromise-Free Scaling of Qubit Speed and Coherence
Miguel J. Carballido, Simon Svab, Rafael S. Eggli +12
Across leading qubit platforms, a common trade-off persists: increasing coherence comes at the cost of operational speed, reflecting the notion that protecting a qubit from its noi…
The Automated Bias Triangle Feature Extraction Framework
Madeleine Kotzagiannidis, Jonas Schuff, Nathan Korda
Bias triangles represent features in stability diagrams of Quantum Dot (QD) devices, whose occurrence and property analysis are crucial indicators for spin physics. Nevertheless, c…
Identifying Pauli spin blockade using deep learning
Jonas Schuff, Dominic T. Lennon, Simon Geyer +9
Pauli spin blockade (PSB) can be employed as a great resource for spin qubit initialisation and readout even at elevated temperatures but it can be difficult to identify. We presen…