3 papers
quant-ph2026
Data-driven learning of non-Markovian quantum dynamics
Samuel Goodwin, Brian K. McFarland, Manuel H. Muñoz-Arias +6
Fault-tolerant quantum computing requires extremely precise knowledge and control of qubit dynamics during the application of a gate. We develop a data-driven learning protocol for…
quant-ph2024
Uniform Additivity of Tripartite Optimized Correlation Measures
Joshua Levin, Ariel Shlosberg, Vikesh Siddhu +1
Information theory provides a framework for answering fundamental questions about the optimal performance of many important quantum communication and computational tasks. In many c…
cond-mat.mes-hall2024
Using a high-fidelity numerical model to infer the shape of a few-hole Ge quantum dot
Mitchell Brickson, N. Tobias Jacobson, Andrew J. Miller +4
The magnetic properties of hole quantum dots in Ge are sensitive to their shape due to the interplay between strong spin-orbit coupling and confinement. We show that the split-off…