The University of Southampton
University of Southampton Institutional Repository

Solid state spin-wave quantum memory for time-bin qubits

Solid state spin-wave quantum memory for time-bin qubits
Solid state spin-wave quantum memory for time-bin qubits
We demonstrate the first solid-state spin-wave optical quantum memory with on-demand read-out. Using the full atomic frequency comb scheme in a Pr3+∶Y2SiO5 crystal, we store weak coherent pulses at the single-photon level with a signal-to-noise ratio > 10. Narrow-band spectral filtering based on spectral hole burning in a second Pr3+∶Y2SiO5 crystal is used to filter out the excess noise created by control pulses to reach an unconditional noise level of (2.0±0.3)×10−3 photons per pulse. We also report spin-wave storage of photonic time-bin qubits with conditional fidelities higher than achievable by a measure and prepare strategy, demonstrating that the spin-wave memory operates in the quantum regime. This makes our device the first demonstration of a quantum memory for time-bin qubits, with on-demand read-out of the stored quantum information. These results represent an important step for the use of solid-state quantum memories in scalable quantum networks.
0031-9007
1-5
Gündoğan, Mustafa
b09c7223-a67a-4361-8d73-18de0e5076e4
Ledingham, Patrick M.
8db45fde-00d8-421a-93d6-7f18ac835c28
Kutluer, Kutlu
f1745733-d9d0-43c0-9046-075ae72bbad7
Mazzera, Margherita
1c51fc4d-cabb-4c3a-a593-c0e2400d3324
De Riedmatten, Hugues
759bbde3-5fbe-4e2b-8cf5-553a58d128bd
Gündoğan, Mustafa
b09c7223-a67a-4361-8d73-18de0e5076e4
Ledingham, Patrick M.
8db45fde-00d8-421a-93d6-7f18ac835c28
Kutluer, Kutlu
f1745733-d9d0-43c0-9046-075ae72bbad7
Mazzera, Margherita
1c51fc4d-cabb-4c3a-a593-c0e2400d3324
De Riedmatten, Hugues
759bbde3-5fbe-4e2b-8cf5-553a58d128bd

Gündoğan, Mustafa, Ledingham, Patrick M., Kutluer, Kutlu, Mazzera, Margherita and De Riedmatten, Hugues (2015) Solid state spin-wave quantum memory for time-bin qubits. Physical Review Letters, 114 (23), 1-5, [230501]. (doi:10.1103/PhysRevLett.114.230501).

Record type: Article

Abstract

We demonstrate the first solid-state spin-wave optical quantum memory with on-demand read-out. Using the full atomic frequency comb scheme in a Pr3+∶Y2SiO5 crystal, we store weak coherent pulses at the single-photon level with a signal-to-noise ratio > 10. Narrow-band spectral filtering based on spectral hole burning in a second Pr3+∶Y2SiO5 crystal is used to filter out the excess noise created by control pulses to reach an unconditional noise level of (2.0±0.3)×10−3 photons per pulse. We also report spin-wave storage of photonic time-bin qubits with conditional fidelities higher than achievable by a measure and prepare strategy, demonstrating that the spin-wave memory operates in the quantum regime. This makes our device the first demonstration of a quantum memory for time-bin qubits, with on-demand read-out of the stored quantum information. These results represent an important step for the use of solid-state quantum memories in scalable quantum networks.

Text
Solid state spin-wave quantum memory for time-bin - Accepted Manuscript
Available under License Creative Commons Attribution.
Download (724kB)

More information

Accepted/In Press date: 25 February 2015
Published date: 12 June 2015
Additional Information: ARXIV IS AM

Identifiers

Local EPrints ID: 443891
URI: http://eprints.soton.ac.uk/id/eprint/443891
ISSN: 0031-9007
PURE UUID: 9b2cd5b1-db84-4294-8007-1c277edfd556

Catalogue record

Date deposited: 16 Sep 2020 16:34
Last modified: 16 Sep 2020 16:34

Export record

Altmetrics

Contributors

Author: Mustafa Gündoğan
Author: Kutlu Kutluer
Author: Margherita Mazzera
Author: Hugues De Riedmatten

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×