Engineering discrete local dynamics in globally driven dual-species atom arrays
Francesco Cesa, Andrea Di Fini, David Aram Korbany, Roberto Tricarico, Hannes Bernien, Hannes Pichler, Lorenzo Piroli
TL;DR
The paper develops a framework to realize discrete local dynamics as Quantum Cellular Automata in globally driven dual-species Rydberg arrays, enabling translation-invariant, discretized updates on static lattice layouts. By introducing mediated gates and decorated gadgets, it implements a broad class of QCAs—including the kicked-Ising model, Floquet Kitaev honeycomb, and digitizations of arbitrary 2-local Hamiltonians—using only global drives and smart layout design, with time- and space-overhead that scale linearly. It also proposes a practical chaos-detection protocol based on a coarse-grained observable g^O(t) that can be measured with minimal experimental resources, enabling near-term exploration of chaotic versus non-ergodic quantum dynamics in large atom arrays. The approach combines quantum control, Floquet engineering, and QCA concepts to significantly simplify experimental requirements while opening a path to study non-equilibrium many-body physics and quantum chaos in programmable, scalable platforms. These advances hold potential for probing complex dynamical phenomena in regimes difficult for classical computation, using near-term neutral-atom quantum simulators.
Abstract
We introduce a method for engineering discrete local dynamics in globally-driven dual-species neutral atom experiments, allowing us to study emergent digital models through uniform analog controls. Leveraging the new opportunities offered by dual-species systems, such as species-alternated driving, our construction exploits simple Floquet protocols on static atom arrangements, and benefits of generalized blockade regimes (different inter- and intra-species interactions). We focus on discrete dynamical models that are special examples of Quantum Cellular Automata (QCA), and explicitly consider a number of relevant examples, including the kicked-Ising model, the Floquet Kitaev honeycomb model, and the digitization of generic translation-invariant nearest-neighbor Hamiltonians (e.g., for Trotterized evolution). As an application, we study chaotic features of discretized many-body dynamics that can be detected by leveraging only demonstrated capabilities of globally-driven experiments, and benchmark their ability to discriminate chaotic evolution.
