Nature Review Physics published review of Alexey Kavokin on Polariton condensates for classical and quantum computing
Nature Review Physics发表西湖大学Alexey Kavokin关于极化激元凝聚用于经典与量子计算的综述论文

近日,《自然综述物理》(Nature Review Physics)发表题Polariton condensates for classical and quantum computing的综述论文。西湖大学国际极化激元中心主任、物理讲席教授Alexey Kavokin是第一作者和通讯作者。

A review article namedPolariton condensates for classical and quantum computingappeared recently in Nature Review Physics. Alexey Kavokin, Chair Professor of Physics, director of International Center of Polaritonics (ICP) of Westlake University, is the first and corresponding author.


在综述中,Kavokin等作者呈现了过去二十年间极化激元激光的发展,特别强调了最近拓扑极化激元学、神经形态架构、极化激元仿真器和量子计算的发展。

In this Review, Kavokin and the co-authors present the development of polariton lasers in the past two decades and specifically address the recent progress in topological polaritonics, neuromorphic architectures, polariton simulators and quantum computers.


作者一开始先回顾了应用极化激元产生激光的发展历史,从最早用光泵浦实现激光到最新的电注入实现激光。然后他们罗列了人们为了更好地应用极化激元而提议并验证的一系列有趣的材料。

To begin with,Kavokin etc. reviewed the development of polariton lasers, from its earliest realization out of optical pumping to latest achievement in lasing with electronic injection. Then they went through interesting material people have proposed and tested for polaritonic engineering, including TMDCs, organics, perovskites and liquid crystals.


第二部分是对将拓扑概念用于极化激元系统的综述,例如实验上利用一维微盘阵列结构的极化激元实现拓扑边缘模激光,利用二维蜂巢结构的极化激元实现拓扑绝缘。他们理论总结了极化激元中的非线性带来的非平凡拓扑效应,从而产生手性、反手性或谷霍尔边缘态。除了非线性,极化激元的非厄密性也让它非常适合用来调控拓扑性质。

In the second part, the authors reviewed application of topological concepts to polaritonic platforms, e.g. lasing from a topological edge experimentally realized in a 1D lattice of micropillars, and polariton topological insulator realized with a polariton honeycomb lattice. They summarized that in theory nonlinearity in polaritons can be used to induce non-trivial topology, giving rise to chiral, antichiral or valley Hall edge states. In addition to nonlinearity, their non-Hermiticity also make polaritons highly suited for engineering topological features.


作者在第三和第四部分回顾了人们提出的把极化激元凝聚用于经典和量子信息处理的多种方案,例如最新关于XY-仿真器、神经形态架构计算、量子比特等的方案。

In the third and fourth part, the authors reviewed a variety of proposals for applications of polariton condensates in classical and quantum information processing, e.g. several recent proposals on polariton XY-simulators, neuromorphic computing with exciton-polaritons and qubits based on polariton condensates.


作者总结说,考虑到我们今天有了更多创新结构和新材料可供选择,且最近实现的拓扑极化激元更有效地控制“光-物质”耦合将有利于信息的读取,我们对于把极化激元凝聚用于经典和量子信息处理持积极态度。他们声称,极化激元平台或许能够成为超导平台的有利竞争者。

The authors have a very positive outlook on polariton condensates for classical and quantum computing, in the light of the availability to so many new structure and materials, plus the recent advances in topological polaritonic enabled efficient control of light-matter coupling that may help signal readout. They claimed that the polariton platform is likely to become a strong competitor to the superconductor platform.

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