223 citations · 335 across the 6 of their papers we have counts for
6 papers
Large spin shuttling oscillations enabling high-fidelity single qubit gates
Akshay Menon Pazhedath, Alessandro David, Max Oberländer +4
Semiconductor quantum dots have shown impressive breakthroughs in the last years, with single and two qubit gate fidelities matching other leading platforms and scalability still r…
GIM: Learning Generalizable Image Matcher From Internet Videos
Xuelun Shen, Zhipeng Cai, Wei Yin +5
Image matching is a fundamental computer vision problem. While learning-based methods achieve state-of-the-art performance on existing benchmarks, they generalize poorly to in-the-…
Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning
Yunlong Song, Angel Romero, Matthias Mueller +2
A central question in robotics is how to design a control system for an agile mobile robot. This paper studies this question systematically, focusing on a challenging setting: auto…
Hybrid Trapping of Rb Atoms and Yb Ions in a Chip-Based Experimental Setup
Abasalt Bahrami, Matthias Müller, Ferdinand Schmidt-Kaler
Hybrid quantum systems that unite laser-cooled trapped ions and ultracold quantum gases in a single experimental setup have opened a rapidly advancing field of study, including Qua…
Optimizing for an arbitrary perfect entangler. II. Application
Michael H. Goerz, Giulia Gualdi, Daniel M. Reich +7
The difficulty of an optimization task in quantum information science depends on the proper mathematical expression of the physical target. Here we demonstrate the power of optimiz…
Optimizing for an arbitrary perfect entangler: I. Functionals
Paul Watts, Jiří Vala, Matthias M. Müller +5
Optimal control theory is a powerful tool for improving figures of merit in quantum information tasks. Finding the solution to any optimal control problem via numerical optimizatio…