Ultracold atoms confined in microtrap array is a highly versatile platform for quantum many-body physics, quantum simulation and quantum computation because of the easy scalability, long coherence time, single site addressability
and controllable interactions, e.g. using Rydberg states. Here, we demonstrate an novel method to prepare versatile arrays of atomic ensembles by transferring them from a pancake shaped optical reservoir to an array of optical tweezers produced via direct projection of light patterns produced via a digital micromirror device. The size of each ensemble is smaller than the Rydberg blockade radius, such that each one can carry either 0 or 1 (collective) excitations which can then strongly interact with the neighbouring ensembles. Finally I will discuss a recent proposal to use such Rydberg arrays to realise programmable quantum systems in the form of quantum cellular automata (QCA). This opens a path to study many-body quantum dynamics in quantum and classical regimes, to engineer highly entangled quantum states and toward an inherently scalable approach to quantum information processing and computing.
In recent years, ultracold atoms trapped in periodic lattices have attracted much attention as a simulator for condensed matter systems because of the ability to manipulate and precisely control the ultracold atoms. Periodic arrays of magnetic microtraps patterned on a magnetic film provide a potential complementary tool to conventional optical lattices for trapping arrays of ultracold atoms. Compared to optical lattices, magnetic lat- tices allow a higher degree of design flexibility by allowing almost arbitrary lattice geometries and they also allow lower technical noise and state-selective trapping of atoms. This paper reports the trapping of ultracold 87Rb atoms in 0.7 μm-period triangular and square magnetic lattices integrated on an atom chip as a step towards using magnetic lattices as a new platform for simulating condensed matter and quantum many-body phenomena in nontrivial lattice geometries.