Quantum memories with zero-energy Majorana modes and experimental constraints

Matteo Ippoliti, Matteo Rizzi, Vittorio Giovannetti, and Leonardo Mazza
Phys. Rev. A 93, 062325 – Published 20 June 2016

Abstract

In this work we address the problem of realizing a reliable quantum memory based on zero-energy Majorana modes in the presence of experimental constraints on the operations aimed at recovering the information. In particular, we characterize the best recovery operation acting only on the zero-energy Majorana modes and the memory fidelity that can be therewith achieved. In order to understand the effect of such restriction, we discuss two examples of noise models acting on the topological system and compare the amount of information that can be recovered by accessing either the whole system, or the zero modes only, with particular attention to the scaling with the size of the system and the energy gap. We explicitly discuss the case of a thermal bosonic environment inducing a parity-preserving Markovian dynamics in which the memory fidelity achievable via a read-out of the zero modes decays exponentially in time, independent from system size. We argue, however, that even in the presence of said experimental limitations, the Hamiltonian gap is still beneficial to the storage of information.

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  • Received 21 November 2015

DOI:https://doi.org/10.1103/PhysRevA.93.062325

©2016 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Matteo Ippoliti1,2,*, Matteo Rizzi3, Vittorio Giovannetti4, and Leonardo Mazza5,4

  • 1Department of Physics, Princeton University, Princeton, New Jersey 08544, USA
  • 2Scuola Normale Superiore, Piazza dei Cavalieri 7, I-56126 Pisa, Italy
  • 3Universität Mainz, Institut für Physik, Staudingerweg 7, D-55099 Mainz, Germany
  • 4NEST, Scuola Normale Superiore and Istituto Nanoscienze-CNR, Piazza dei Cavalieri 7, I-56126 Pisa, Italy
  • 5Département de Physique, Ecole Normale Supérieure / PSL Research University, CNRS, 24 Rue Lhomond, F-75005 Paris, France

  • *matteoi@princeton.edu

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Vol. 93, Iss. 6 — June 2016

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