%0 Journal Article %D 2021 %T Observation of Stark many-body localization without disorder %A W. Morong %A F. Liu %A P. Becker %A K. S. Collins %A L. Feng %A A. Kyprianidis %A G. Pagano %A T. You %A Alexey V. Gorshkov %A C. Monroe %X

Thermalization is a ubiquitous process of statistical physics, in which details of few-body observables are washed out in favor of a featureless steady state. Even in isolated quantum many-body systems, limited to reversible dynamics, thermalization typically prevails. However, in these systems, there is another possibility: many-body localization (MBL) can result in preservation of a non-thermal state. While disorder has long been considered an essential ingredient for this phenomenon, recent theoretical work has suggested that a quantum many-body system with a uniformly increasing field -- but no disorder -- can also exhibit MBL, resulting in `Stark MBL.' Here we realize Stark MBL in a trapped-ion quantum simulator and demonstrate its key properties: halting of thermalization and slow propagation of correlations. Tailoring the interactions between ionic spins in an effective field gradient, we directly observe their microscopic equilibration for a variety of initial states, and we apply single-site control to measure correlations between separate regions of the spin chain. Further, by engineering a varying gradient, we create a disorder-free system with coexisting long-lived thermalized and nonthermal regions. The results demonstrate the unexpected generality of MBL, with implications about the fundamental requirements for thermalization and with potential uses in engineering long-lived non-equilibrium quantum matter.

%8 2/14/2021 %G eng %U https://arxiv.org/abs/2102.07250 %0 Journal Article %D 2019 %T Observation of Domain Wall Confinement and Dynamics in a Quantum Simulator %A W. L. Tan %A P. Becker %A F. Liu %A G. Pagano %A K. S. Collins %A A. De %A L. Feng %A H. B. Kaplan %A A. Kyprianidis %A R. Lundgren %A W. Morong %A S. Whitsitt %A Alexey V. Gorshkov %A C. Monroe %X

Confinement is a ubiquitous mechanism in nature, whereby particles feel an attractive force that increases without bound as they separate. A prominent example is color confinement in particle physics, in which baryons and mesons are produced by quark confinement. Analogously, confinement can also occur in low-energy quantum many-body systems when elementary excitations are confined into bound quasiparticles. Here, we report the first observation of magnetic domain wall confinement in interacting spin chains with a trapped-ion quantum simulator. By measuring how correlations spread, we show that confinement can dramatically suppress information propagation and thermalization in such many-body systems. We are able to quantitatively determine the excitation energy of domain wall bound states from non-equilibrium quench dynamics. Furthermore, we study the number of domain wall excitations created for different quench parameters, in a regime that is difficult to model with classical computers. This work demonstrates the capability of quantum simulators for investigating exotic high-energy physics phenomena, such as quark collision and string breaking

%8 12/23/2019 %G eng %U https://arxiv.org/abs/1912.11117 %0 Journal Article %D 2019 %T Quantum Approximate Optimization with a Trapped-Ion Quantum Simulator %A G. Pagano %A A. Bapat %A P. Becker %A K. S. Collins %A A. De %A P. W. Hess %A H. B. Kaplan %A A. Kyprianidis %A W. L. Tan %A Christopher L. Baldwin %A L. T. Brady %A A. Deshpande %A F. Liu %A S. Jordan %A Alexey V. Gorshkov %A C. Monroe %X

Quantum computers and simulators may offer significant advantages over their classical counterparts, providing insights into quantum many-body systems and possibly solving exponentially hard problems, such as optimization and satisfiability. Here we report the first implementation of a shallow-depth Quantum Approximate Optimization Algorithm (QAOA) using an analog quantum simulator to estimate the ground state energy of the transverse field Ising model with tunable long-range interactions. First, we exhaustively search the variational control parameters to approximate the ground state energy with up to 40 trapped-ion qubits. We then interface the quantum simulator with a classical algorithm to more efficiently find the optimal set of parameters that minimizes the resulting energy of the system. We finally sample from the full probability distribution of the QAOA output with single-shot and efficient measurements of every qubit. 

%8 06/06/2019 %G eng %U https://arxiv.org/abs/1906.02700