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Raman quantum memory demonstrates near-unity performance

Phys.org Quantum Section
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⚡ Quantum Brief
Chinese researchers led by Professors Weiping Zhang and Liqing Chen achieved a breakthrough in quantum memory, demonstrating 94.6% efficiency and 98.91% fidelity—near-unity performance—using a Raman-based system. Their novel approach leverages far-off resonant Raman interactions and adaptive spatiotemporal control via the Hankel transform, eliminating the efficiency-fidelity trade-off that plagued prior designs. The team’s warm rubidium-87 vapor memory operates with minimal noise, storing optical signals faster than conventional schemes due to its broadband capability. This advancement could enable fault-tolerant quantum networks, long-distance communication, and distributed sensing by overcoming a key bottleneck in quantum information storage. Future work will explore integration with quantum repeaters and new physics-driven principles to further optimize memory performance for scalable quantum technologies.
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November 15, 2025 feature The GIST Raman quantum memory demonstrates near-unity performance by Ingrid Fadelli, Phys.org edited by Gaby Clark, reviewed by Robert Egan Editors' notes This article has been reviewed according to Science X's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility: fact-checked peer-reviewed publication trusted source proofread The team's experimental setup. Credit: APS, Physical Review Letters (2025). DOI: 10.1103/kbwj-md9n. Over the past decades, quantum physicists and engineers have developed numerous technologies that harness the principles of quantum mechanics to push the boundaries of classical information science. Among these advances, quantum memories stand out as promising devices for storing and retrieving quantum information encoded in light or other physical carriers. To be viable for real-world applications, quantum memory must deliver both high efficiency and high fidelity. In other words, they should be able to store and retrieve most of the input quantum information—typically over 90%—and ensure that a recovered state closely matches the original one. Notably, most previously proposed strategies to develop efficient quantum memories were found to produce undesired random fluctuations (i.e., noise). These fluctuations could in turn degrade quantum information, reducing the system's fidelity. The joint team led by Professor Weiping Zhang at Shanghai Jiao Tong University, and Professor Liqing Chen at East China Normal University in China recently introduced a new approach to control of atom-light interactions while quantum information is stored. Using this technique, which is outlined in a paper in Physical Review Letters, they demonstrated a Raman quantum memory that exhibits an efficiency of 94.6%, produces very little noise and can store quantum information with a 98.91% fidelity. "Quantum memory with near-unity efficiency and fidelity is indispensable for quantum information processing," Zhang told Phys.org. "Achieving such a performance has long been a central challenge in the field, motivating extensive research efforts and inspiring the published work. The primary objectives of this work were to elucidate the underlying physics and to develop practical approaches for realizing perfect quantum memory." Illustration outlining the physics of the Raman atom-light mapping technique. Credit: APS, Physical Review Letters (2025). DOI: 10.1103/kbwj-md9n. A promising mathematically guided technique The quantum memory developed by Zhang and his colleagues leverages a type of atom-light interaction, known as a far-off resonant Raman scheme. Beyond enabling quantum storage, this scheme also offers a broadband advantage, allowing its memory to store optical signals much faster than that in other schemes. In their paper, the researchers introduced a precise and robust technique that can be used to adaptively control a quantum memory until it reaches "perfection." This technique is based on the principle of atom-light spatiotemporal mapping, which is mathematically called the Hankel transform. "Fundamentally, this work is the first time to uncover the physical mechanism behind the atom-light mapping in the quantum memory," said Zhang. "Practically, this work makes a breakthrough in developing a new method and promising technique to achieve a benchmark of quantum memory." Breaking the limits of earlier quantum memories So far, the researchers have applied their newly discovered mathematical approach to a Raman quantum memory based on a warm rubidium-87 (⁸⁷Rb) vapor. Their approach was found to break the "efficiency–fidelity trade-off" bottleneck that had so far prevented the realization of 'perfect' quantum memories. This recent effort by Zhang and his colleagues could thus contribute to the realization of increasingly better performing quantum memories. In the future, these memories could open new possibilities for the development of various other quantum technologies, including long-distance quantum communication, quantum computers and distributed quantum sensing systems. "Our plans for future research include, but are not limited to, studying new physics-driven principles and integrating the memory into quantum repeaters for fault-tolerant quantum computing architectures and quantum networks," added Zhang. Written for you by our author Ingrid Fadelli, edited by Gaby Clark, and fact-checked and reviewed by Robert Egan—this article is the result of careful human work. We rely on readers like you to keep independent science journalism alive. If this reporting matters to you, please consider a donation (especially monthly). You'll get an ad-free account as a thank-you. More information: Jinxian Guo et al, Near-Perfect Broadband Quantum Memory Enabled by Intelligent Spin-Wave Compaction, Physical Review Letters (2025). DOI: 10.1103/kbwj-md9n . On arXiv: DOI: 10.48550/arxiv.2505.02424 Journal information: Physical Review Letters , arXiv © 2025 Science X Network Citation: Raman quantum memory demonstrates near-unity performance (2025, November 15) retrieved 16 November 2025 from https://phys.org/news/2025-11-raman-quantum-memory-unity.html This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no part may be reproduced without the written permission. The content is provided for information purposes only.

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