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