4.6 Article

Hardware-efficient bosonic quantum error-correcting codes based on symmetry operators

期刊

PHYSICAL REVIEW A
卷 97, 期 3, 页码 -

出版社

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevA.97.032323

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资金

  1. Air Force Office of Scientific Research [FA9550-14-1-0052]
  2. Claude E. Shannon Research Assistantship
  3. National Science Foundation Center for Ultracold Atoms

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We establish a symmetry-operator framework for designing quantum error-correcting (QEC) codes based on fundamental properties of the underlying system dynamics. Based on this framework, we propose three hardware-efficient bosonic QEC codes that are suitable for chi((2))-interaction based quantum computation in multimode Fock bases: the chi((2)) parity-check code, the chi((2)) embedded error-correcting code, and the chi((2)) binomial code. All of these QEC codes detect photon-loss or photon-gain errors by means of photon-number parity measurements, and then correct them via chi((2)) Hamiltonian evolutions and linear-optics transformations. Our symmetry-operator framework provides a systematic procedure for finding QEC codes that are not stabilizer codes, and it enables convenient extension of a given encoding to higher-dimensional qudit bases. The chi((2)) binomial code is of special interest because, with m <= N identified from channel monitoring, it can correct m-photon-loss errors, or m-photon-gain errors, or (m - 1) th-order dephasing errors using logical qudits that are encoded in O(N) photons. In comparison, other bosonic QEC codes require O(N-2) photons to correct the same degree of bosonic errors. Such improved photon efficiency underscores the additional error-correction power that can be provided by channel monitoring. We develop quantum Hamming bounds for photon-loss errors in the code subspaces associated with the chi((2)) parity-check code and the chi((2)) embedded error-correcting code, and we prove that these codes saturate their respective bounds. Our chi((2)) QEC codes exhibit hardware efficiency in that they address the principal error mechanisms and exploit the available physical interactions of the underlying hardware, thus reducing the physical resources required for implementing their encoding, decoding, and error-correction operations, and their universal encoded-basis gate sets.

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