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Analog Quantum Error Correction with Encoding a Qubit into an Oscillator.
Fukui, Kosuke; Tomita, Akihisa; Okamoto, Atsushi.
Afiliação
  • Fukui K; Graduate School of Information Science and Technology, Hokkaido University Kita14-Nishi9, Kita-ku, Sapporo 060-0814, Japan.
  • Tomita A; Graduate School of Information Science and Technology, Hokkaido University Kita14-Nishi9, Kita-ku, Sapporo 060-0814, Japan.
  • Okamoto A; Graduate School of Information Science and Technology, Hokkaido University Kita14-Nishi9, Kita-ku, Sapporo 060-0814, Japan.
Phys Rev Lett ; 119(18): 180507, 2017 Nov 03.
Article em En | MEDLINE | ID: mdl-29219558
ABSTRACT
To implement fault-tolerant quantum computation with continuous variables, Gottesman-Kitaev-Preskill (GKP) qubits have been recognized as an important technological element. However, the analog outcome of GKP qubits, which includes beneficial information to improve the error tolerance, has been wasted, because the GKP qubits have been treated as only discrete variables. In this Letter, we propose a hybrid quantum error correction approach that combines digital information with the analog information of the GKP qubits using a maximum-likelihood method. As an example, we demonstrate that the three-qubit bit-flip code can correct double errors, whereas the conventional method based on majority voting on the binary measurement outcome can correct only a single error. As another example, we show that a concatenated code known as Knill's C_{4}/C_{6} code can achieve the hashing bound for the quantum capacity of the Gaussian quantum channel (GQC). To the best of our knowledge, this approach is the first attempt to draw both digital and analog information to improve quantum error correction performance and achieve the hashing bound for the quantum capacity of the GQC.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Phys Rev Lett Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Japão

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Phys Rev Lett Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Japão