Quantum memory is crucial for both quantum communication and quantum computing. But until now, uncontrollable noise has forced quantum memories into a trade-off between limited efficiency (the fraction of input states successfully retrieved) and limited fidelity (the similarity between retrieved states and input states). Jinxian Guo at Shanghai Jiao Tong University and his colleagues have demonstrated a way to dispense with this trade-off [1]. The researchers have presented a high-efficiency, high-fidelity quantum memory that they say could enable advances in high-speed quantum networks, quantum-state manipulation, and large-scale quantum computation.
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