Universal measurement-based quantum computation in a one-dimensional architecture enabled by dual-unitary circuits

ORAL

Abstract

We use dual-unitary circuits, which are unitary even when read 'sideways', as the basis of a new framework for measurement-based quantum computation (MBQC). In particular, applying a dual-unitary circuit to a many-body state followed by appropriate measurements effectively implements quantum computation in the spatial direction. We study the dynamics of the 1D kicked Ising chain and find that after k time-steps, equivalent to a depth-k quantum circuit, we obtain a resource state for universal MBQC on ∼3k/4 logical qubits. This removes the usual requirement of going to 2D to achieve universality, thereby reducing the demands imposed on potential experimental platforms. We also show that our resource states belong to a new class of symmetry-protected topological phases with spatially modulated symmetries, and that our protocol is robust to symmetric deformations.

* This work is supported by the Harvard Quantum Initiative Postdoctoral Fellowship in Science and Engineering (RV), the National University of Singapore start-up grants A-8000599-00-00 and A-8000599-01-00 (WWH), the Simons Collaboration on Ultra-Quantum Matter, which is a grant from the Simons Foundation (651440) (RV, DTS), the National Science Foundation (PHY 1915165) and the Materials Science and Engineering Divisions, Office of Basic Energy Sciences of the U.S. Department of Energy (DESC0012704) (TCW), and NSERC and by USARO (W911NF2010013) (RR).

Publication: Universal measurement-based quantum computation in a one-dimensional architecture enabled by dual-unitary circuits. (2022). David T. Stephen, Wen Wei Ho, Tzu-Chieh Wei, Robert Raussendorf, Ruben Verresen. arXiv:2209.06191.

Presenters

  • David T Stephen

    University of Colorado, Boulder

Authors

  • David T Stephen

    University of Colorado, Boulder

  • Wen Wei Ho

    National University of Singapore

  • Tzu-Chieh Wei

    Stony Brook University (SUNY)

  • Robert Raussendorf

    Leibniz University Hannover

  • Ruben Verresen

    Harvard University and Massachusetts Institute of Technology, Harvard University