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Eliminating Leakage Errors in Hyperfine Qubits.
Hayes, D; Stack, D; Bjork, B; Potter, A C; Baldwin, C H; Stutz, R P.
Afiliação
  • Hayes D; Honeywell Quantum Solutions, 303 S. Technology Ct. 80021 Broomfield, Colorado, USA.
  • Stack D; Honeywell Quantum Solutions, 303 S. Technology Ct. 80021 Broomfield, Colorado, USA.
  • Bjork B; Honeywell Quantum Solutions, 303 S. Technology Ct. 80021 Broomfield, Colorado, USA.
  • Potter AC; Honeywell Quantum Solutions, 303 S. Technology Ct. 80021 Broomfield, Colorado, USA.
  • Baldwin CH; Honeywell Quantum Solutions, 303 S. Technology Ct. 80021 Broomfield, Colorado, USA.
  • Stutz RP; Honeywell Quantum Solutions, 303 S. Technology Ct. 80021 Broomfield, Colorado, USA.
Phys Rev Lett ; 124(17): 170501, 2020 May 01.
Article em En | MEDLINE | ID: mdl-32412273
ABSTRACT
Population leakage outside the qubit subspace presents a particularly harmful source of error that cannot be handled by standard error correction methods. Using a trapped ^{171}Yb^{+} ion, we demonstrate an optical pumping scheme to suppress leakage errors in atomic hyperfine qubits. The selection rules and narrow linewidth of a quadrupole transition are used to selectively pump population out of leakage states and back into the qubit subspace. Each pumping cycle reduces the leakage population by a factor of ∼3, allowing for an exponential suppression in the number of cycles. We use interleaved randomized benchmarking on the qubit subspace to show that this pumping procedure has negligible side effects on the qubit subspace, bounding the induced qubit memory error by ≤2.0(8)×10^{-5} per cycle, and qubit population decay to ≤1.4(3)×10^{-7} per cycle. These results clear a major obstacle for implementations of quantum error correction and error mitigation protocols.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Phys Rev Lett Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Phys Rev Lett Ano de publicação: 2020 Tipo de documento: Article