We present an industrial end-user perspective on the current state of quantum computing
hardware for one specific technological approach, the neutral atom platform. Our aim is to …

Neutral atom technology has steadily demonstrated significant theoretical and experimental
advancements, positioning itself as a front-runner platform for running quantum algorithms …

Machine learning models capable of handling the large data sets collected in the financial
world can often become black boxes expensive to run. The quantum computing paradigm …

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 …

In the past years, many quantum algorithms have been proposed to tackle hard
combinatorial problems. In particular, the maximum independent set (MIS) is a known NP …

The construction of Hilbert spaces that are characterized by local constraints as the low-
energy sectors of microscopic models is an important step towards the realization of a wide …

Quantum algorithms have been widely studied in the context of combinatorial optimization
problems. While this endeavor can often analytically and practically achieve quadratic …

We show that universal parity quantum computing employing a recently introduced constant
depth decoding procedure is equivalent to measurement-based quantum computation …

There is a growing interest in harnessing the potential of the Rydberg‐atom system to
address complex combinatorial optimization challenges. Here an experimental …

Recent progress in quantum computing and quantum simulation of many-body systems with
arrays of neutral atoms using Rydberg excitation has provided unforeseen opportunities …