Tunable Geometries in Sparse Clifford Circuits

Symmetry MDPI 14:4 (2022) ARTN 666

Authors:

Tomohiro Hashizume, Sridevi Kuriyattil, Andrew J Daley, Gregory Bentsen

Abstract:

<jats:p>We investigate the emergence of different effective geometries in stochastic Clifford circuits with sparse coupling. By changing the probability distribution for choosing two-site gates as a function of distance, we generate sparse interactions that either decay or grow with distance as a function of a single tunable parameter. Tuning this parameter reveals three distinct regimes of geometry for the spreading of correlations and growth of entanglement in the system. We observe linear geometry for short-range interactions, treelike geometry on a sparse coupling graph for long-range interactions, and an intermediate fast scrambling regime at the crossover point between the linear and treelike geometries. This transition in geometry is revealed in calculations of the subsystem entanglement entropy and tripartite mutual information. We also study emergent lightcones that govern these effective geometries by teleporting a single qubit of information from an input qubit to an output qubit. These tools help to analyze distinct geometries arising in dynamics and correlation spreading in quantum many-body systems.</jats:p>

Counterdiabatic Optimised Local Driving

(2022)

Authors:

Ieva Čepaitė, Anatoli Polkovnikov, Andrew J Daley, Callum W Duncan

Measurement-induced phase transitions in sparse nonlocal scramblers

Physical Review Research American Physical Society (APS) 4:1 (2022) 013174

Authors:

Tomohiro Hashizume, Gregory Bentsen, Andrew J Daley

Tunable Geometries in Sparse Clifford Circuits

(2022)

Authors:

Tomohiro Hashizume, Sridevi Kuriyattil, Andrew J Daley, Gregory Bentsen

Many-Body Quantum State Diffusion for Non-Markovian Dynamics in Strongly Interacting Systems.

Physical review letters 128:6 (2022) 063601

Authors:

S Flannigan, F Damanet, AJ Daley

Abstract:

Capturing non-Markovian dynamics of open quantum systems is generally a challenging problem, especially for strongly interacting many-body systems. In this Letter, we combine recently developed non-Markovian quantum state diffusion techniques with tensor network methods to address this challenge. As a first example, we explore a Hubbard-Holstein model with dissipative phonon modes, where this new approach allows us to quantitatively assess how correlations spread in the presence of non-Markovian dissipation in a 1D many-body system. We find regimes where correlation growth can be enhanced by these effects, offering new routes for dissipatively enhancing transport and correlation spreading, relevant for both solid state and cold atom experiments.