Concatenation of Error Avoiding with Error Correcting Quantum Codes for Correlated Noise Models

Physics – Quantum Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

16 pages, 3 figures

Scientific paper

We study the performance of simple error correcting and error avoiding quantum codes together with their concatenation for correlated noise models. Specifically, we consider two error models: i) a bit-flip (phase-flip) noisy Markovian memory channel (model I); ii) a memory channel defined as a memory degree dependent linear combination of memoryless channels with Kraus decompositions expressed solely in terms of tensor products of X-Pauli (Z-Pauli) operators (model II). The performance of both the three-qubit bit flip (phase flip) and the error avoiding codes suitable for the considered error models is quantified in terms of the entanglement fidelity. We explicitly show that while none of the two codes is effective in the extreme limit when the other is, the three-qubit bit flip (phase flip) code still works for high enough correlations in the errors, whereas the error avoiding code does not work for small correlations. Finally, we consider the concatenation of such codes for both error models and show that it is particularly advantageous for model II in the regime of partial correlations.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Concatenation of Error Avoiding with Error Correcting Quantum Codes for Correlated Noise Models does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Concatenation of Error Avoiding with Error Correcting Quantum Codes for Correlated Noise Models, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Concatenation of Error Avoiding with Error Correcting Quantum Codes for Correlated Noise Models will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-492386

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.