论文标题

高能物理的量子网络

Quantum Networks for High Energy Physics

论文作者

Derevianko, Andrei, Figueroa, Eden, MartÍnez-Rincón, Julián, Monga, Inder, Nomerotski, Andrei, Peña, Cristián H., Peters, Nicholas A., Pooser, Raphael, Rao, Nageswara, Slosar, Anze, Spentzouris, Panagiotis, Spiropulu, Maria, Stankus, Paul, Wu, Wenji, Xie, Si

论文摘要

量子对象的量子网络有望比独立考虑的对象更强大。为了实现这一承诺,将需要制定缓解错误和更正策略,以在初始化,存储,运输,利用和测量的量子信息时保留量子信息。量子信息可以用离散变量(例如Qubits,连续变量或中间的任何内容)编码。量子计算网络有望为HEP社区模拟感兴趣的物理现象。量子传感器网络有望进行新的测量能力,以测试新物理学并改善基本常数的现有测量。从纳米级到全球尺度量子网络,这种网络可以在多个量表上存在。

Quantum networks of quantum objects promise to be exponentially more powerful than the objects considered independently. To live up to this promise will require the development of error mitigation and correction strategies to preserve quantum information as it is initialized, stored, transported, utilized, and measured. The quantum information could be encoded in discrete variables such as qubits, in continuous variables, or anything in-between. Quantum computational networks promise to enable simulation of physical phenomena of interest to the HEP community. Quantum sensor networks promise new measurement capability to test for new physics and improve upon existing measurements of fundamental constants. Such networks could exist at multiple scales from the nano-scale to a global-scale quantum network.

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