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Enhancing Quantum Memories with Light-Matter Interference

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abstract

Future optical quantum technologies, such as quantum networks, distributed quantum computing and sensing, demand efficient, broadband quantum memories. However, achieving high efficiency without introducing noise, reducing bandwidth, or limiting scalability remains a challenge. Here, we present a new approach to enhance quantum memory protocols by leveraging constructive light-matter interference, leading to an increase in memory efficiency without increasing atomic density or laser intensity. We implement this method in a Raman quantum memory in warm Cesium vapor, and achieve more than a three-fold improvement in total efficiency reaching $(34.3\pm8.4)\%$, while retaining GHz-bandwidth operation and low noise levels. Numerical simulations predict that this approach can boost efficiencies in systems limited by atomic density, such as cold atomic ensembles, from $65\%$ to beyond $96\%$, while in warm atomic vapors it could reduce the laser intensity needed to reach a given efficiency by over an order-of-magnitude, exceeding $95\%$ total efficiency. Furthermore, our method preserves the single-mode nature of the memory at high efficiencies. This new protocol is applicable to various memory architectures, paving the way toward scalable, efficient, low-noise, and high-bandwidth quantum memories.

fields

quant-ph 1

years

2025 1

verdicts

CONDITIONAL 1

representative citing papers

Super-resolving frequency measurement with mode-selective quantum memory

quant-ph · 2025-06-25 · conditional · novelty 7.0

A mode-selective Raman quantum memory in warm cesium vapor estimates the separation between two spectral lines with up to a 34-fold precision enhancement over direct intensity detection, resolving separations down to 1/20 of the linewidth.

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  • Super-resolving frequency measurement with mode-selective quantum memory quant-ph · 2025-06-25 · conditional · none · ref 60 · internal anchor

    A mode-selective Raman quantum memory in warm cesium vapor estimates the separation between two spectral lines with up to a 34-fold precision enhancement over direct intensity detection, resolving separations down to 1/20 of the linewidth.