Floquet and dynamic automorphism codes: Part II

ORAL

Abstract

We introduce a new model of quantum computation comprised of low-weight measurement sequences that simultaneously encode logical information, enable error correction, and apply logical gates. These measurement sequences constitute a new class of quantum error-correcting codes generalizing Floquet codes, which we call dynamic automorphism (DA) codes. We construct an explicit example, the DA color code, which is assembled from short measurement sequences that can realize all 72 automorphisms of the color code. On a stack of N triangular patches, the DA color code encodes N logical qubits and can implement the full logical Clifford group by a sequence of two- and, more rarely, three-qubit Pauli measurements. We also make the first step towards universal quantum computation with DA codes by introducing a 3D DA color code and showing that a non-Clifford logical gate can be realized by adaptive two-qubit measurements.

* This research was supported in part by the National Science Foundation under grant No. NSF PHY1748958, the Heising-Simons Foundation, and the Simons Foundation (216179, LB). MD was supported by the Air Force Office of Scientific Research under award number FA2386-21-1-4058. NT is supported by the Walter Burke Institute for Theoretical Physics at Caltech. SB was supported by the National Science Foundation Graduate Research Fellowship under Grant No. 1745302.

Publication: [1] M. Davydova, N. Tantivasadakarn, S. Balasubramanian "Floquet Codes without Parent Subsystem Codes", PRX Quantum 4, 020341 (2023).
[2] M. Davydova, N. Tantivasadakarn, S. Balasubramanian, D. Aasen "Quantum computation from dynamic automorphism codes", arxiv:2307.10353 (2023).

Presenters

  • Margarita Davydova

    Massachusetts Institute of Technology, Massachusetts Institute of Technology (MIT)

Authors

  • Margarita Davydova

    Massachusetts Institute of Technology, Massachusetts Institute of Technology (MIT)

  • Nathanan Tantivasadakarn

    Caltech

  • shankar balasubramanian

    MIT, Massachusetts Institute of Technology

  • David Aasen

    Microsoft Research, Station Q, Santa Barbara