TY - GEN
T1 - Optimistic Entanglement Purification With Few Quantum Memories
AU - Mobayenjarihani, Mohammad
AU - Vardoyan, Gayane
AU - Towsley, Don
PY - 2021
Y1 - 2021
N2 - Entanglement generation over large distances is a challenging task due to photon loss, which grows exponentially with link length (e.g., optical fiber). Moreover, EPR pair generation over noisy channels results in imperfect states. Thus, a link is associated with a success probability and an initial fidelity for successfully-generated entanglement. Over time, fidelity de-creases due to environmental noise. Entanglement purification is a way of probabilistically increasing state fidelity. Traditionally, purification protocols perform the following steps: generate two or more EPR pairs between two nodes, execute a series of quantum gates on both sides, and exchange results via classical messages. In this work, we propose a twist on the original entanglement pumping scheme, wherein a fixed number of purification steps are performed successively, before the classical information exchange. This modification introduces optimism to the overall procedure, such that classical communication is performed only at the end, to check the measurement results. The protocol is also optimistic about entanglement generation and does not wait for heralding signals before attempting purification. We study the effect of being optimistic on fidelity and the waiting time to generate an entangled pair as a function of the distance between network nodes. We observe an improvement in both fidelity and expected waiting time. We also study the effect of the number of purification steps on fidelity and latency and observe that typically no more than two or three purification steps are needed when limited by only two memories.
AB - Entanglement generation over large distances is a challenging task due to photon loss, which grows exponentially with link length (e.g., optical fiber). Moreover, EPR pair generation over noisy channels results in imperfect states. Thus, a link is associated with a success probability and an initial fidelity for successfully-generated entanglement. Over time, fidelity de-creases due to environmental noise. Entanglement purification is a way of probabilistically increasing state fidelity. Traditionally, purification protocols perform the following steps: generate two or more EPR pairs between two nodes, execute a series of quantum gates on both sides, and exchange results via classical messages. In this work, we propose a twist on the original entanglement pumping scheme, wherein a fixed number of purification steps are performed successively, before the classical information exchange. This modification introduces optimism to the overall procedure, such that classical communication is performed only at the end, to check the measurement results. The protocol is also optimistic about entanglement generation and does not wait for heralding signals before attempting purification. We study the effect of being optimistic on fidelity and the waiting time to generate an entangled pair as a function of the distance between network nodes. We observe an improvement in both fidelity and expected waiting time. We also study the effect of the number of purification steps on fidelity and latency and observe that typically no more than two or three purification steps are needed when limited by only two memories.
UR - http://www.scopus.com/inward/record.url?scp=85123174107&partnerID=8YFLogxK
U2 - 10.1109/QCE52317.2021.00068
DO - 10.1109/QCE52317.2021.00068
M3 - Conference contribution
AN - SCOPUS:85123174107
T3 - Proceedings - 2021 IEEE International Conference on Quantum Computing and Engineering, QCE 2021
SP - 439
EP - 440
BT - Proceedings - 2021 IEEE International Conference on Quantum Computing and Engineering, QCE 2021
A2 - Muller, Hausi A.
A2 - Byrd, Greg
A2 - Culhane, Candace
A2 - Humble, Travis
PB - Institute of Electrical and Electronics Engineers (IEEE)
T2 - 2nd IEEE International Conference on Quantum Computing and Engineering, QCE 2021
Y2 - 17 October 2021 through 22 October 2021
ER -