Polaritonic XY-Ising machine
Polaritonic XY-Ising machine
复制标题
DOI：
10.1515/nanoph-2020-0162
复制
发表时间：
2020-10-01
期刊：
影响因子：
7.5
通讯作者：
Berloff, Natalia G.
中科院分区：
文献类型：
--
作者：
Kalinin, Kirill P.;Amo, Alberto;Berloff, Natalia G.
增益耗散系统的各种物理起源最近表现出的能力，作为模拟极小化的硬组合优化问题。这些建议是否会导致性能优于经典计算，取决于建立足够密集的短程和长程自旋之间的相互作用的可控耦合的能力。在这里，我们提出了一个极化激元XY伊辛机的基础上的网络的几何隔离极化激元凝聚能够最大限度地减少离散和连续的自旋哈密顿。我们阐明了两种类型的耦合：相对和绝对的性能所提出的计算平台。网络节点之间的相互作用可以通过重定向冷凝物之间的发射或通过使用谐振激励在节点之间发送相位信息来控制。我们讨论的条件下，所提出的机器导致一个纯极化激元模拟器与预编程耦合或结果在一个混合的经典极化激元模拟器。我们认为，所提出的远程耦合控制的架构提供了一个改进的几何耦合凝聚体的准确性和稳定性，以及增加的多功能性，范围，和连接的自旋哈密顿，可以模拟与极化子网络。
Gain-dissipative systems of various physical origin have recently shown the ability to act as analogue minimisers of hard combinatorial optimisation problems. Whether or not these proposals will lead to any advantage in performance over the classical computations depends on the ability to establish controllable couplings for sufficiently dense short- and long-range interactions between the spins. Here, we propose a polaritonic XY-Ising machine based on a network of geometrically isolated polariton condensates capable of minimising discrete and continuous spin Hamiltonians. We elucidate the performance of the proposed computing platform for two types of couplings: relative and absolute. The interactions between the network nodes might be controlled by redirecting the emission between the condensates or by sending the phase information between nodes using resonant excitation. We discuss the conditions under which the proposed machine leads to a pure polariton simulator with pre-programmed couplings or results in a hybrid classical polariton simulator. We argue that the proposed architecture for the remote coupling control offers an improvement over geometrically coupled condensates in both accuracy and stability as well as increases versatility, range, and connectivity of spin Hamiltonians that can be simulated with polariton networks.