113 citations · 366 across the 27 of their papers we have counts for
5 papers · 1 filter
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…
Simultaneous Operations in a Two-Dimensional Array of Singlet-Triplet Qubits
Federico Fedele, Anasua Chatterjee, Saeed Fallahi +3
In many physical approaches to quantum computation, error-correction schemes assume the ability to form two-dimensional qubit arrays with nearest-neighbor couplings and parallel op…
Ultrastrong coupling between electron tunneling and mechanical motion
Florian Vigneau, Juliette Monsel, Jorge Tabanera +8
The ultrastrong coupling of single-electron tunneling and nanomechanical motion opens exciting opportunities to explore fundamental questions and develop new platforms for quantum…