Optimum quantum error recovery using semidefinite programming

Andrew S. Fletcher, Peter W. Shor, and Moe Z. Win
Phys. Rev. A 75, 012338 – Published 31 January 2007

Abstract

Quantum error correction (QEC) is an essential element of physical quantum information processing systems. Most QEC efforts focus on extending classical error correction schemes to the quantum regime. The input to a noisy system is embedded in a coded subspace, and error recovery is performed via an operation designed to perfectly correct for a set of errors, presumably a large subset of the physical noise process. In this paper, we examine the choice of recovery operation. Rather than seeking perfect correction on a subset of errors, we seek a recovery operation to maximize the entanglement fidelity for a given input state and noise model. In this way, the recovery operation is optimal for the given encoding and noise process. This optimization is shown to be calculable via a semidefinite program, a well-established form of convex optimization with efficient algorithms for its solution. The error recovery operation may also be interpreted as a combining operation following a quantum spreading channel, thus providing a quantum analogy to the classical diversity combining operation.

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  • Received 7 June 2006

DOI:https://doi.org/10.1103/PhysRevA.75.012338

©2007 American Physical Society

Authors & Affiliations

Andrew S. Fletcher1,2,*, Peter W. Shor3,†, and Moe Z. Win1,‡

  • 1Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
  • 2Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, Massachusetts 02420
  • 3Department of Mathematics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA

  • *Electronic address: fletcher@mit.edu
  • Electronic address: shor@math.mit.edu
  • Electronic address: moewin@mit.edu

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Vol. 75, Iss. 1 — January 2007

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