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利用光子实现量子计算优势。

Quantum computational advantage using photons.

机构信息

Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, China.

CAS Centre for Excellence and Synergetic Innovation Centre in Quantum Information and Quantum Physics, University of Science and Technology of China, Shanghai 201315, China.

出版信息

Science. 2020 Dec 18;370(6523):1460-1463. doi: 10.1126/science.abe8770. Epub 2020 Dec 3.

DOI:10.1126/science.abe8770
PMID:33273064
Abstract

Quantum computers promise to perform certain tasks that are believed to be intractable to classical computers. Boson sampling is such a task and is considered a strong candidate to demonstrate the quantum computational advantage. We performed Gaussian boson sampling by sending 50 indistinguishable single-mode squeezed states into a 100-mode ultralow-loss interferometer with full connectivity and random matrix-the whole optical setup is phase-locked-and sampling the output using 100 high-efficiency single-photon detectors. The obtained samples were validated against plausible hypotheses exploiting thermal states, distinguishable photons, and uniform distribution. The photonic quantum computer, , generates up to 76 output photon clicks, which yields an output state-space dimension of 10 and a sampling rate that is faster than using the state-of-the-art simulation strategy and supercomputers by a factor of ~10.

摘要

量子计算机有望执行某些被认为是经典计算机难以解决的任务。玻色抽样就是这样一项任务,被认为是展示量子计算优势的有力候选者。我们通过向具有全连通性和随机矩阵的 100 模式超低损耗干涉仪发送 50 个不可分辨的单模压缩态来执行高斯玻色抽样——整个光学设置是锁定相位的——并使用 100 个高效单光子探测器对输出进行采样。通过利用热态、可分辨光子和均匀分布来对获得的样本进行验证。光子量子计算机 ,生成了多达 76 个输出光子点击,这使得输出状态空间维度达到 10,并且采样率比使用最先进的模拟策略和超级计算机快约 10 倍。

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Quantum computational advantage using photons.利用光子实现量子计算优势。
Science. 2020 Dec 18;370(6523):1460-1463. doi: 10.1126/science.abe8770. Epub 2020 Dec 3.
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Phys Rev Lett. 2019 Dec 20;123(25):250503. doi: 10.1103/PhysRevLett.123.250503.
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Speedup in classical simulation of Gaussian boson sampling.高斯玻色子采样经典模拟的加速
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Toward Scalable Boson Sampling with Photon Loss.有光子损失时的可扩展玻色子抽样。
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Photonic boson sampling in a tunable circuit.光子玻色采样在可调谐电路中的应用。
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