Southwest Quantum Information and Technology

On simulating quantum erasure

Presenting Author: Mohammad Alhejji, University of Colorado JILA
Contributing Author(s): Emanuel Knill

Quantum erasure is one of the most well-understood error models for quantum information processing. However, comparatively little is known about it in the high noise regime, i.e. where the erasure probability exceeds a half and the quantum capacity vanishes. We study the problem of exact simulation of erasure using a fixed resource channel (to be used as many times as needed). We characterize the set of channels that can positively contribute to a convex decomposition of erasure. We point out a connection between simulating erasure and conditional quantum error correction. For the particular case of simulating erasure channels with other erasure channels, we show that stabilizer codes do not improve erasure channels with zero quantum capacity.

(Session 5 : Thursday from 5:00 pm - 7:00 pm)