40 citations · 105 across the 15 of their papers we have counts for
12 papers · 1 filter
QArray+: A physics-informed GPU-accelerated simulator for quantum dot arrays
Pranav Vaidhyanathan, Barnaby van Straaten, Alice Petrillo +6
Semiconductor quantum-dot arrays are a compelling platform for scalable quantum technologies, yet their practical operation is hindered by the complexity of tuning large-scale devi…
Automatic tuning of a donor in a silicon quantum device using machine learning
Brandon Severin, Tim Botzem, Federico Fedele +12
Donor spin qubits in silicon offer one- and two-qubit gates with fidelities beyond 99%, coherence times exceeding 30 seconds, and compatibility with industrial manufacturing method…
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…
Sources of nonlinearity in the response of a driven nano-electromechanical resonator
Sofia Sevitz, Kushagra Aggarwal, Jorge Tabanera-Bravo +9
Nanoelectromechanical resonators provide an ideal platform for investigating the interplay between electron transport and nonlinear mechanical motion. Externally driven suspended c…
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…
Automated All-RF Tuning for Spin Qubit Readout and Control
Cornelius Carlsson, Jaime Saez-Mollejo, Federico Fedele +5
Efficient tuning of spin qubits remains a major bottleneck in scaling semiconductor quantum dot-based quantum processors. A key challenge is the rapid identification of gate voltag…
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…
Coupling a single spin to high-frequency motion
Federico Fedele, Federico Cerisola, Lea Bresque +12
Coupling a single spin to high-frequency mechanical motion is a fundamental bottleneck of applications such as quantum sensing, intermediate and long-distance spin-spin coupling, a…
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…
Information flows in nanomachines
Juan Parrondo, Jorge Tabanera-Bravo, Federico Fedele +1
Nanomachines are often interpreted as autonomous Maxwell's demons or information engines. This interpretation is appealing from a conceptual viewpoint but sometimes lacks a rigorou…
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…