Z. -X. Gong

Programmable Quantum Simulations of Spin Systems with Trapped Ions

C. Monroe [1], W. C. Campbell [2], L. -M. Duan [3], Z. -X. Gong [4], A. V. Gorshkov [1,5], P. Hess, R. Islam [6], K. Kim [3,10], N. Linke, G. Pagano [7], P. Richerme [8], C. Senko [6], N. Y. Yao [9]

Abstract

Laser-cooled and trapped atomic ions form an ideal standard for the simulation of interacting quantum spin models. Effective spins are represented by appropriate internal energy levels within each ion, and the spins can be measured with near-perfect efficiency using state-dependent fluorescence techniques. By applying optical fields that exert optical dipole forces on the ions, their Coulomb interaction can be modulated to produce long-range and tunable spin-spin interactions that can be reconfigured by shaping the spectrum and pattern of the laser fields, in a prototypical example of a quantum simulator. Here we review the theoretical mapping of atomic ions to interacting spin systems, the preparation of complex equilibrium states, the study of dynamical processes in these many-body interacting quantum systems, and the use of this platform for optimization and other tasks. The use of such quantum simulators for studying spin models may inform our understanding of exotic quantum materials and shed light on the behavior of interacting quantum systems that cannot be modeled with conventional computers.

Observation of a Many-Body Dynamical Phase Transition with a 53-Qubit Quantum Simulator

J. Zhang [1], G. Pagano [1], P. W. Hess [1], A. Kyprianidis [1], P. Becker [1], H. Kaplan [1], A. V. Gorshkov [1], Z. -X. Gong [1], C. Monroe [1,2]

Abstract

A quantum simulator is a restricted class of quantum computer that controls the interactions between quantum bits in a way that can be mapped to certain difficult quantum many-body problems. As more control is exerted over larger numbers of qubits, the simulator can tackle a wider range of problems, with the ultimate limit being a universal quantum computer that can solve general classes of hard problems. We use a quantum simulator composed of up to 53 qubits to study a non-equilibrium phase transition in the transverse field Ising model of magnetism, in a regime where conventional statistical mechanics does not apply. The qubits are represented by trapped ion spins that can be prepared in a variety of initial pure states. We apply a global long-range Ising interaction with controllable strength and range, and measure each individual qubit with near 99% efficiency. This allows the single-shot measurement of arbitrary many-body correlations for the direct probing of the dynamical phase transition and the uncovering of computationally intractable features that rely on the long-range interactions and high connectivity between the qubits.

Simulating the Haldane Phase in Trapped Ion Spins Using Optical Fields

I. Cohen [1], P. Richerme [2], Z. -X. Gong [2,3], C. Monroe [2], A. Retzker [1]

Abstract

We propose to experimentally explore the Haldane phase in spin-one XXZ antiferromagnetic chains using trapped ions. We show how to adiabatically prepare the ground states of the Haldane phase, demonstrate their robustness against sources of experimental noise, and propose ways to detect the Haldane ground states based on their excitation gap and exponentially decaying correlations, nonvanishing nonlocal string order, and doubly-degenerate entanglement spectrum.

Optimal quantum control of multi-mode couplings between trapped ion qubits for scalable entanglement

T. Choi [1], S. Debnath [1], T. A. Manning [1], C. Figgatt [1], Z. -X. Gong [1,2], L. -M. Duan [2], C. Monroe [1]

Abstract

We demonstrate high fidelity entangling quantum gates within a chain of five trapped ion qubits by optimally shaping optical fields that couple to multiple collective modes of motion. We individually address qubits with segmented optical pulses to construct multipartite entangled states in a programmable way. This approach enables both high fidelity and fast quantum gates that can be scaled to larger qubit registers for quantum computation and simulation.