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Published October 2020 | public
Journal Article

Kerdock Codes Determine Unitary 2-Designs

Abstract

The non-linear binary Kerdock codes are known to be Gray images of certain extended cyclic codes of length N=2^m over Z₄. We show that exponentiating these Z₄-valued codewords by i≜√-1 produces stabilizer states, that are quantum states obtained using only Clifford unitaries. These states are also the common eigenvectors of commuting Hermitian matrices forming maximal commutative subgroups (MCS) of the Pauli group. We use this quantum description to simplify the derivation of the classical weight distribution of Kerdock codes. Next, we organize the stabilizer states to form N+1 mutually unbiased bases and prove that automorphisms of the Kerdock code permute their corresponding MCS, thereby forming a subgroup of the Clifford group. When represented as symplectic matrices, this subgroup is isomorphic to the projective special linear group PSL(2,N). We show that this automorphism group acts transitively on the Pauli matrices, which implies that the ensemble is Pauli mixing and hence forms a unitary 2-design. The Kerdock design described here was originally discovered by Cleve et al. (2016), but the connection to classical codes is new which simplifies its description and translation to circuits significantly. Sampling from the design is straightforward, the translation to circuits uses only Clifford gates, and the process does not require ancillary qubits. Finally, we also develop algorithms for optimizing the synthesis of unitary 2-designs on encoded qubits, i.e., to construct logical unitary 2-designs. Software implementations are available at https://github.com/nrenga/symplectic-arxiv18a, which we use to provide empirical gate complexities for up to 16 qubits.

Additional Information

© 2020 IEEE. Manuscript received April 23, 2019; accepted July 24, 2020. Date of publication August 11, 2020; date of current version September 22, 2020. This work was supported in part by the National Science Foundation (NSF) under Grant 1718494 and Grant 1908730. This article was presented in part at the 2019 IEEE International Symposium on Information Theory. (Trung Can and Narayanan Rengaswamy contributed equally to this work.)

Additional details

Created:
August 19, 2023
Modified:
October 20, 2023