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Updated: Feb 22, 2026

Gradient Echo Quantum Memory in Warm Atomic Vapor

Gradient Echo Quantum Memory in Warm Atomic Vapor

Published on: November 11, 2013

Simple Atomic Quantum Memory Suitable for Semiconductor Quantum Dot Single Photons.

Janik Wolters¹, Gianni Buser¹, Andrew Horsley¹

¹Department of Physics, University of Basel, Klingelbergstrasse 82, CH-4056 Basel, Switzerland.

Physical Review Letters

|September 27, 2017

Summary

This summary is machine-generated.

Researchers developed a quantum memory using warm rubidium vapor for quantum networks. This on-demand system efficiently stores and retrieves single photons, paving the way for advanced quantum communication technologies.

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Area of Science:

Quantum Information Science
Atomic, Molecular, and Optical Physics

Background:

Quantum networks require efficient quantum memories compatible with single photon sources.
Electromagnetically induced transparency (EIT) in atomic vapors offers a promising platform for quantum memory implementation.

Purpose of the Study:

To demonstrate an on-demand quantum memory in warm rubidium vapor suitable for integration into quantum networks.
To characterize the performance of the quantum memory in terms of efficiency, storage time, and noise.

Main Methods:

Utilized electromagnetically induced transparency (EIT) in warm Rb vapor for on-demand storage and retrieval of light.
Employed attenuated laser pulses at the single photon level to test memory performance.
Fiber-coupled the memory system to evaluate end-to-end efficiency.

Main Results:

Achieved an end-to-end efficiency of 3.4(3)% for a 50 ns storage time with a 0.66 GHz acceptance bandwidth, suitable for quantum dot single photons.
Measured a total intrinsic efficiency of 17(3)%.
Identified atomic fluorescence as the dominant noise source, with a read-out noise level of 9x10^-3 photons.

Conclusions:

Warm Rb vapor quantum memories offer a practical balance of efficiency, storage time, and noise for quantum networks.
Future improvements, including increased optical depth and exploiting Zeeman substructure, can significantly enhance efficiency towards unity.
The demonstrated memory shows potential for high signal-to-noise ratio operations in quantum communication protocols.