A Continuous and Coherent Large-Scale Atom Array

ORAL

Abstract

Neutral atom arrays are now one of the leading platforms for quantum simulation, quantum metrology and quantum computation. State-of-the-art systems feature thousands of atomic qubits and gate fidelities surpassing error correction thresholds. A remaining challenge is the loss of atomic qubits, arising from gate infidelity, ancillary readout, decoherence, and vacuum-limited lifetimes. We introduce a new platform for fast-, continuous- and coherent- reloading of a large scale atom array. Our approach leverages two optical lattice conveyor belts to transport atoms from a magneto-optical trap chamber to a glass cell where science occurs. Atoms are pulled from the lattice reservoir in a high rate without laser cooling. Our reloading architecture features novel laser cooling, rearrangement, state initialization, readout on a fast timescale while maintaining coherence. Finally, we demonstrate the coherent iterative assembly of a large-scale atom array. Our work addresses a fundamental challenge in neutral atom quantum computing and opens up new possibilities in cold atom experiments.

*We acknowledge financial support from the U.S. Department of Energy (DOE Quantum Systems Accelerator Center), the DARPA ONISQ program, the Center for Ultracold Atoms (an NSF Physics Frontier Center), the National Science Foundation, the Army Research Office MURI, IARPA and the Army Research Office, under the Entangled Logical Qubits program and QuEra Computing. M.A. acknowledges support by a Rubicon Grant from the Netherlands Organization for Scientific Research (NWO). S.H. acknowledges funding through the Harvard Quantum Initiative Postdoctoral Fellowship in Quantum Science and Engineering.

Presenters

  • Neng-Chun Chiu

    • Harvard University

Authors

  • Neng-Chun Chiu

    • Harvard University
  • Elias Trapp

    • Harvard University
  • Jinen Guo

    • Harvard University
  • Luke Stewart

    • Harvard University
  • Mohamed Abobeih

    • Harvard University
  • Pavel Stroganov

    • Harvard University
  • Tout T Wang

    • Harvard University
  • Markus Greiner

    • Harvard University
  • Simon Hollerith

    • Harvard University
  • Vladan Vuletic

    • Massachusetts Institute of Technology
  • Mikhail D Lukin

    • Harvard University