Investigation of macromolecular structure and dynamics is fundamental to understanding
how macromolecules carry out their functions in the cell. Significant advances have been …

As quantum computers become available to the general public, the need has arisen to train
a cohort of quantum programmers, many of whom have been developing classical computer …

Natural language processing (NLP) is at the forefront of great advances in contemporary AI,
and it is arguably one of the most challenging areas of the field. At the same time, with the …

The Quantum Alternating Operator Ansatz is a generalization of the Quantum Approximate
Optimization Algorithm (QAOA) designed for finding approximate solutions to combinatorial …

A bstract Complex metrics are a double-edged sword: they allow one to replace singular
spacetimes, such as those containing a big bang, with regular metrics, yet they can also …

Millimeter-wave automotive radar is essential for realizing autonomous driving. Realistic
channel model and simulation are important for system and sensing algorithm design. This …

A key challenge for metal-exchanged zeolites is the determination of metal cation speciation
and nuclearity under synthesis and reaction conditions. Copper-exchanged zeolites, which …

Nonisothermal liquid sloshing in partially filled reservoirs can significantly enhance heat and
mass transfer between liquid and ullage gasses. This can result in large temperature and …

Jellyfish nerve nets provide insight into the origins of nervous systems, as both their
taxonomic position and their evolutionary age imply that jellyfish resemble some of the …

Variational Quantum Algorithms have emerged as a leading paradigm for near-term
quantum computation. In such algorithms, a parameterized quantum circuit is controlled via …