We propose and analyze the use of Bayesian optimization techniques to design quantum
annealing schedules with minimal user and resource requirements. We showcase our …

It is well known that artificial neural networks initialized from independent and identically
distributed priors converge to Gaussian processes in the limit of large number of neurons …

We provide a non-unit-disk framework to solve combinatorial optimization problems such as
maximum cut and maximum independent set on a Rydberg quantum annealer. Our setup …

X-ray free-electron lasers (XFELs) have brought new ways to probe and manipulate atomic
and molecular dynamics with unprecedented spatial and temporal resolutions. A …

Conventional 2-D scanning electron microscopy (SEM) is commonly used to rapidly and
qualitatively evaluate membrane pore structure. Quantitative 2-D analyses of pore sizes can …

In the world of computational materials science, the knowledge of microstructure is vital in
understanding the process-microstructure–property linkage across various length-scales. To …

Control of quantum systems is a central element of high-precision experiments and the
development of quantum technological applications. Control pulses that are typically …

The ability to prepare nonclassical states in a robust manner is essential for quantum
sensors beyond the standard quantum limit. We demonstrate that Bayesian optimal control …

A remarkable consequence of spontaneously breaking the time translational symmetry in a
system, is the emergence of time crystals. In periodically driven systems, discrete time …

We theoretically investigate the out-of-equilibrium dynamics of irregular one-and two-
dimensional arrays of Rydberg dipoles featuring spatially anisotropic interactions. Starting …