论文标题
学习量子纠缠与嘈杂的古典通信
Learning Quantum Entanglement Distillation with Noisy Classical Communications
论文作者
论文摘要
量子网络依赖于纠缠的管理和开发。纠缠量他的实际来源是不完美的，与理想的铃铛对产生了混合量子状态，其保真度降低。因此，量子网络的重要原始性是纠缠蒸馏，其目标是通过本地操作和经典通信（LOCC）增强纠缠量子的忠诚度。现有的蒸馏协议假设理想，无声的通信渠道的可用性。在本文中，我们研究了在嘈杂的二元对称渠道上进行交流的情况。我们建议通过参数化的量子电路（PQC）实施本地处理，这些电路（PQC）在考虑通信错误时进行了优化，以最大化平均保真度。引入的方法，即噪声意识 - 链球网（Na-loccnet），证明比为无噪声通信设计的现有协议具有显着优势。
Quantum networking relies on the management and exploitation of entanglement. Practical sources of entangled qubits are imperfect, producing mixed quantum state with reduced fidelity with respect to ideal Bell pairs. Therefore, an important primitive for quantum networking is entanglement distillation, whose goal is to enhance the fidelity of entangled qubits through local operations and classical communication (LOCC). Existing distillation protocols assume the availability of ideal, noiseless, communication channels. In this paper, we study the case in which communication takes place over noisy binary symmetric channels. We propose to implement local processing through parameterized quantum circuits (PQCs) that are optimized to maximize the average fidelity, while accounting for communication errors. The introduced approach, Noise Aware-LOCCNet (NA-LOCCNet), is shown to have significant advantages over existing protocols designed for noiseless communications.
