TY - GEN
T1 - Exact solution for the max-min quantum error recovery problem
AU - Yamamoto, Naoki
PY - 2009
Y1 - 2009
N2 - This paper considers the max-min quantum error recovery problem; the recovery channel to be designed maximizes the fidelity between input and output states of a given noisy channel, while the minimum is taken over all possible pure input states. In general, this kind of max-min problem is cast as a non-convex optimization problem and is thus very hard to solve even with the aid of high-quality computational tools. Nevertheless, it is shown that, when the input takes a qubit, the problem is exactly convex for any size of error process. The Sum of Squares (SOS) characterization of a specific class of polynomial functions plays a crucial role in deriving this result.
AB - This paper considers the max-min quantum error recovery problem; the recovery channel to be designed maximizes the fidelity between input and output states of a given noisy channel, while the minimum is taken over all possible pure input states. In general, this kind of max-min problem is cast as a non-convex optimization problem and is thus very hard to solve even with the aid of high-quality computational tools. Nevertheless, it is shown that, when the input takes a qubit, the problem is exactly convex for any size of error process. The Sum of Squares (SOS) characterization of a specific class of polynomial functions plays a crucial role in deriving this result.
UR - http://www.scopus.com/inward/record.url?scp=77950836068&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77950836068&partnerID=8YFLogxK
U2 - 10.1109/CDC.2009.5400142
DO - 10.1109/CDC.2009.5400142
M3 - Conference contribution
AN - SCOPUS:77950836068
SN - 9781424438716
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 1433
EP - 1438
BT - Proceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
Y2 - 15 December 2009 through 18 December 2009
ER -