40 citations · 105 across the 15 of their papers we have counts for
16 papers
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…
Quantum computing and artificial intelligence: status and perspectives
Giovanni Acampora, Andris Ambainis, Natalia Ares +36
This white paper discusses and explores the various points of intersection between quantum computing and artificial intelligence (AI). It describes how quantum computing could supp…
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…
Roadmap on Quantum Thermodynamics
Steve Campbell, Irene D'Amico, Mario A. Ciampini +66
The last two decades has seen quantum thermodynamics become a well established field of research in its own right. In that time, it has demonstrated a remarkably broad applicabilit…
Artificial Intelligence for Quantum Computing
Yuri Alexeev, Marwa H. Farag, Taylor L. Patti +25
Artificial intelligence (AI) advancements over the past few years have had an unprecedented and revolutionary impact across everyday application areas. Its significance also extend…
Extra cost of erasure due to quantum lifetime broadening
Joe Dunlop, Federico Cerisola, Juliette Monsel +6
The energy cost of erasing a bit of information was fundamentally lower bounded by Landauer, in terms of the temperature of its environment: . However,…
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…