113 citations · 366 across the 27 of their papers we have counts for
27 papers
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…
Entropic costs of extracting classical ticks from a quantum clock
Vivek Wadhia, Florian Meier, Federico Fedele +12
We experimentally realize a quantum clock by using a charge sensor to count charges tunneling through a double quantum dot (DQD). Individual tunneling events are used as the clock'…
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…
Physics-informed tracking of qubit fluctuations
Fabrizio Berritta, Jan A. Krzywda, Jacob Benestad +9
Environmental fluctuations degrade the performance of solid-state qubits but can in principle be mitigated by real-time Hamiltonian estimation down to time scales set by the estima…
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…
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…
Real-time two-axis control of a spin qubit
Fabrizio Berritta, Torbjørn Rasmussen, Jan A. Krzywda +9
Optimal control of qubits requires the ability to adapt continuously to their ever-changing environment. We demonstrate a real-time control protocol for a two-electron singlet-trip…
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…
Stability of long-sustained oscillations induced by electron tunneling
Jorge Tabanera-Bravo, Florian Vigneau, Juliette Monsel +9
Self-oscillations are the result of an efficient mechanism generating periodic motion from a constant power source. In quantum devices, these oscillations may arise due to the inte…
Probing quantum devices with radio-frequency reflectometry
Florian Vigneau, Federico Fedele, Anasua Chatterjee +5
Many important phenomena in quantum devices are dynamic, meaning that they cannot be studied using time-averaged measurements alone. Experiments that measure such transient effects…
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…
Bridging the reality gap in quantum devices with physics-aware machine learning
D. L. Craig, H. Moon, F. Fedele +9
The discrepancies between reality and simulation impede the optimisation and scalability of solid-state quantum devices. Disorder induced by the unpredictable distribution of mater…
Autonomous estimation of high-dimensional Coulomb diamonds from sparse measurements
Anasua Chatterjee, Fabio Ansaloni, Torbjørn Rasmussen +5
Quantum dot arrays possess ground states governed by Coulomb energies, utilized prominently by singly occupied quantum dots, each implementing a spin qubit. For such quantum proces…
Cross-architecture Tuning of Silicon and SiGe-based Quantum Devices Using Machine Learning
B. Severin, D. T. Lennon, L. C. Camenzind +20
The potential of Si and SiGe-based devices for the scaling of quantum circuits is tainted by device variability. Each device needs to be tuned to operation conditions. We give a ke…