Litcius/Paper detail

Symmetry-resolved dynamical purification in synthetic quantum matter

Vittorio Vitale, Andreas Elben, Richard Kueng, Antoine Neven, José Carrasco, Barbara Kraus, P. Zoller, Pasquale Calabrese, Benoît Vermersch, Marcello Dalmonte

2021Zenodo (CERN European Organization for Nuclear Research)22 citationsDOIOpen Access PDF

Abstract

When a quantum system initialized in a product state is subjected to either coherent or incoherent<br> dynamics, the entropy of any of its connected partitions generically increases as a function of<br> time, signalling the inevitable spreading of (quantum) information throughout the system. Here,<br> we show that, in the presence of continuous symmetries and under ubiquitous experimental conditions,<br> symmetry-resolved information spreading is inhibited due to the competition of coherent and<br> incoherent dynamics: in given quantum number sectors, entropy decreases as a function of time,<br> signalling dynamical purification. Such dynamical purification bridges between two distinct short<br> and intermediate time regimes, characterized by a log-volume and log-area entropy law, respectively.<br> It is generic to symmetric quantum evolution, and as such occurs for different partition geometry<br> and topology, and classes of (local) Liouville dynamics. We then develop a protocol to measure<br> symmetry-resolved entropies and negativities in synthetic quantum systems based on the random<br> unitary toolbox, and demonstrate the generality of dynamical purification using experimental data<br> from trapped ion experiments [Brydges et al., Science 364, 260 (2019)]. Our work shows that symmetry<br> plays a key role as a magnifying glass to characterize many-body dynamics in open quantum<br> systems, and, in particular, in noisy-intermediate scale quantum devices.

Topics & Concepts

Symmetry (geometry)QuantumPhysicsTheoretical physicsStatistical physicsQuantum mechanicsMathematicsGeometryQuantum Mechanics and ApplicationsQuantum optics and atomic interactionsLaser-Matter Interactions and Applications