Michael Schecter

Feasibility Study of 3D-Printed Micro Junction Array for Ion Trap Quantum Processor

Kento Taniguchi [1,2], Ke Sun [1,2], Shuqi Xu [1,2], Abhinav Parakh [3], Xiaoxing Xia [3], Michael Schecter [4], Curtis Volin [5], Eric Hudson [6,7,8,1,2], Hartmut Haeffner

Abstract

We introduce an ion trap platform based on a 3D-printed micro-junction array, designed to implement quantum charge-coupled device (QCCD) architectures for large-scale quantum information processing (QIP). The integration of three-dimensionally structured micro Radio-Frequency (RF) electrodes above a surface-electrode trap enables flexible control of electric field profiles across both linear and junction regions. Through simulations, we demonstrate that the linear region exhibits deeper and more harmonic ion confinement with reduced RF drive power compared to conventional planar traps. Crucially, we identify a junction geometry that maintains uniform ion confinement during transport while substantially reducing the pseudopotential barrier. This reduction facilitates low-heating, high-fidelity transport of single- and multi-species ion crystals. Our results establish a viable route toward fault-tolerant quantum computing by enabling modular and scalable QCCD systems based on the state-of-the-art 3D-printing technologies.

Digital quantum magnetism on a trapped-ion quantum computer

Reza Haghshenas, Eli Chertkov, Michael Mills, Wilhelm Kadow, Sheng-Hsuan Lin, Yi-Hsiang Chen, Chris Cade, Ido Niesen, Tomislav Begušić, Manuel S. Rudolph, Cristina Cirstoiu, Kevin Hemery, Conor Mc Keever, Michael Lubasch, Etienne Granet, Charles H. Baldwin, John P. Bartolotta, Matthew Bohn, Justin J. Burau, Julia Cline, Matthew DeCross, Joan M. Dreiling, Cameron Foltz, David Francois, John P. Gaebler, Christopher N. Gilbreth, Johnnie Gray, Dan Gresh, Alex Hall, Aaron Hankin, Azure Hansen, Nathan Hewitt, Craig A. Holliman, Ross B. Hutson, Mohsin Iqbal, Nikhil Kotibhaskar, Elliot Lehman, Dominic Lucchetti, Ivaylo S. Madjarov, Karl Mayer, Alistair R. Milne, Steven A. Moses, Brian Neyenhuis, Gunhee Park, Abigail R. Perry, Boris Ponsioen, Michael Schecter, Peter E. Siegfried, David T. Stephen, Bruce G. Tiemann, Maxwell D. Urmey, James Walker, Andrew C. Potter, David Hayes, Garnet Kin-Lic Chan, Frank Pollmann, Michael Knap, Henrik Dreyer, Michael Foss-Feig

Abstract

Digital quantum matter -- realized when discrete quantum gates approximate continuous time evolution -- is susceptible to heating into chaotic, structureless states. If digitization errors are adequately suppressed, a long-lived transient regime of approximately energy-conserving dynamics can be observed on gate-based quantum computers. Conservation of energy, in turn, enables the exploration of a wide variety of complex behaviors observed in equilibrium systems, ranging from the nontrivial microscopic origins of thermalization itself to the stabilization of effective models hosting exotic emergent properties. Here, we use Quantinuum's system model H2 quantum computer to simulate digitized dynamics of the quantum Ising model, suppressing digitization errors well enough to observe thermalization on timescales that severely challenge classical simulation methods. Relaxation of an inhomogeneous state reveals an emergent hydrodynamics due to approximate energy conservation, and we compute the associated diffusion constant. By reprogramming our simulations to take place on a triangular lattice with periodic boundary conditions, we observe thermalization consistent with emergent gauge and topological constraints resulting from lattice frustration. Our results were enabled by continued advances in two-qubit gate quality (native partial entangler fidelities of $99.94(1)\%$), and establish digital quantum computers as powerful tools for studying (effectively) continuous-time dynamics.