Fangli Liu

TL;DR: This work applies a variational quantum algorithm (QAOA) to approximate the ground-state energy of a long-range Ising model, both quantum and classical, and investigates the algorithm performance on a trapped-ion quantum simulator, observing that the QAOA performance does not degrade significantly as the authors scale up the system size and that the runtime is approximately independent from the number of qubits.

TL;DR: In this article, the authors studied one-dimensional spin-1/2$ models in which strict confinement of Ising domain walls leads to the fragmentation of Hilbert space into exponentially many disconnected subspaces.

TL;DR: A two-kink model is introduced to qualitatively explain the phenomenon of long-range-interaction-induced confinement and to quantitatively predict the masses of the bound quasiparticles.

TL;DR: In this paper, a generalized version of the AAH model is developed, containing a tunable phase shift between on-site and off-diagonal modulations, which can be induced by varying just this phase, keeping all other model parameters constant.

TL;DR: In this paper, the first observation of magnetic domain wall confinement in interacting spin chains with a trapped-ion quantum simulator is reported, which demonstrates the capability of quantum simulators for investigating exotic high-energy physics phenomena, such as quark collision and string breaking.