Logical quantum processor based on reconfigurable atom arrays

ORAL

Abstract

In this talk, we will discuss recent advances in quantum information processing using dynamically reconfigurable arrays of neutral atoms, where physical qubits are encoded in long-lived hyperfine states and entangling operations are realized by coherent excitation into Rydberg states. A central challenge for useful quantum computing is achieving sufficiently low errors rates, therefore requiring quantum error correction for large-scale processing. Here we realize a programmable logical quantum processor, utilizing high two-qubit gate fidelities, arbitrary connectivity, and mid-circuit readout. By encoding logical qubits with various types of error-correcting codes, we demonstrate improved logical two-qubit gates upon increasing the code size, remove entropy via stabilizer measurement, create logical entangled states, and perform computationally complex scrambling circuits. Furthermore, we showcase recent technical upgrades to our platform which enable atomic qubits to be re-used mid-computation, including loss-resolved non-destructive readout, on-the-fly decoding, and local mid-circuit cooling and reinitialization. Together, these results chart a path toward future large-scale quantum information processing and gate-based quantum simulation.

*DOE Quantum Systems Accelerator Center, DARPA ONISQ program, DARPA IMPAQT program, DARPA MeasQuIT program, Center for Ultracold Atoms (an NSF Physics Frontiers Center), the National Science Foundation, IARPA and the Army Research Office under the Entangled Logical Qubits program, Wellcome Leap Foundation under the Quantum for Bio program, QuEra Computing, the National Defense Science and Engineering Graduate (NDSEG) fellowship, the Harvard Quantum Initiative Postdoctoral Fellowship in Science and Engineering, the Banting Postdoctoral Fellowship, the Fannie and John Hertz Foundation, the Department of Energy Computational Science Graduate Fellowship.

Publication: Nature 626, 58–65 (2024)
Bluvstein, Geim, et al., in preparation

Presenters

  • Alexandra A Geim

    • Harvard University

Authors

  • Alexandra A Geim

    • Harvard University
  • Dolev Bluvstein

    • Harvard University
  • Simon J Evered

    • Harvard University
  • Sophie Helena Huiyuan Li

    • Harvard University
  • Hengyun Zhou

    • QuEra Computing Inc.
    • Harvard University
  • Tom Manovitz

    • Harvard University
  • Sepehr Ebadi

    • Harvard University, Massachusetts Institute of Technology
  • Muqing Xu

    • Harvard University
  • Madelyn Cain

    • Harvard University
  • Marcin J Kalinowski

    • Harvard University
  • J. Pablo Bonilla Ataides

    • Harvard University
  • Nishad Maskara

    • Harvard University
  • Gefen Baranes

    • Massachusetts Institute of Technology
    • Harvard University
  • Andi Gu

    • Harvard University
  • Shayan Majidy

    • Harvard University
  • Christian Kokail

    • Harvard University
    • Harvard - Smithsonian Center for Astrophysics
  • Iris Cong

    • Harvard University
  • Xun Gao

    • Harvard University, University of Colorado Boulder
  • Pedro Sales Rodriguez

    • QuEra Computing Inc.
    • Massachusetts Institute of Technology
    • QuEra Computing
  • Giulia Semeghini

    • Harvard University
  • Michael J Gullans

    • National Institute of Standards and Technology (NIST)
  • Markus Greiner

    • Harvard University
  • Vladan Vuletic

    • Massachusetts Institute of Technology
  • Mikhail D Lukin

    • Harvard University