After many years of development of the basic tools, quantum simulation with ultracold atoms
has now reached the level of maturity at which it can be used to investigate complex …

Nuclear matter and finite nuclei exhibit the property of superfluidity by forming Cooper pairs.
We review the microscopic theories and methods that are being employed to understand the …

Hybrid classical–quantum algorithms aim to variationally solve optimization problems using
a feedback loop between a classical computer and a quantum co-processor, while …

The second quantum revolution has been built on a foundation of fundamental research at
the intersection of physics and information science, giving rise to the discipline we now call …

Ultracold atoms in optical lattices form a competitive candidate for quantum computation
owing to the excellent coherence properties, the highly parallel operations over spins, and …

Optical tweezers provide a versatile platform for the manipulation and detection of single
atoms. Here, we use optical tweezers to demonstrate a set of tools for the microscopic …

In the last decade, quantum simulators, and in particular cold atoms in optical lattices, have
emerged as a valuable tool to study strongly correlated quantum matter. These experiments …

Ultracold atomic gases provide a fantastic platform to implement quantum simulators and
investigate a variety of models initially introduced in condensed matter physics or other …

The quantum approximate optimization algorithm (QAOA) has become a cornerstone of
contemporary quantum applications development. In QAOA, a quantum circuit is trained—by …

Understanding strongly correlated quantum many-body states is one of the most difficult
challenges in modern physics. For example, there remain fundamental open questions on …