Extensible universal photonic quantum computing with nonlinearity

IF 38.1 1区 物理与天体物理 Q1 OPTICS
Shang Yu, Jinzhao Sun, Kuan-Cheng Chen, Zhi-Huai Yang, Zhenghao Li, Ewan Mer, Yazeed K. Alwehaibi, Shana H. Winston, Dayne Marcus Lopena, Zi-Cheng Zhang, Guang Yang, Runxia Tao, Mingti Zhou, Gerard J. Machado, Ying Dong, Roberto Bondesan, Vlatko Vedral, M. S. Kim, Ian A. Walmsley, Raj B. Patel
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Abstract

Universal quantum computing requires an architecture that supports both linear circuits and, crucially, strong nonlinear resources. For quantum photonic systems, integrating such nonlinearities with scalable linear circuitry has been a main bottleneck, leaving most optical experiments without nonlinear operations and, consequently, incapable of achieving universality. Here we report on an extensible photonic computer that supports a universal physical gate set by seamlessly combining fully programmable, scalable linear-optical networks with integrated nonlinear modules. This platform enables a broad range of quantum computing and simulation tasks. We demonstrate the quasi-deterministic generation of optical Gottesman–Kitaev–Preskill states, which are essential resources for bosonic error correction yet had previously been realized only probabilistically. Furthermore, we simulate complex many-body quantum dynamics, exemplified by the Bose–Hubbard model. Such quantum simulation tasks have long been considered beyond the reach of photonic hardware limited to linear operations. These capabilities, enabled by our extensible architecture, establish a viable route towards photonic quantum simulation and fault-tolerant quantum computing. An extensible photonic quantum computing architecture based on a fully programmable, scalable linear-optical network has been realized, and is enhanced by two addressable modules: an inline squeezing module for injecting nonlinear resources as input states and a Kerr interaction module for implementing effective nonlinear operations.

Abstract Image

Abstract Image

非线性的可扩展通用光子量子计算
通用量子计算需要一个既支持线性电路又支持强大非线性资源的架构。对于量子光子系统来说,将这种非线性与可扩展的线性电路集成一直是一个主要的瓶颈,使得大多数光学实验没有非线性操作,因此无法实现通用性。在这里,我们报告了一种可扩展的光子计算机,它通过无缝地结合完全可编程、可扩展的线性光网络和集成的非线性模块来支持通用的物理门集。该平台支持广泛的量子计算和模拟任务。我们证明了光学Gottesman-Kitaev-Preskill态的准确定性生成,这是玻色子纠错的重要资源,但以前只能在概率上实现。此外,我们模拟了复杂的多体量子动力学,以Bose-Hubbard模型为例。这种量子模拟任务长期以来被认为超出了限于线性操作的光子硬件的范围。这些功能通过我们的可扩展架构实现,为光子量子模拟和容错量子计算建立了一条可行的途径。
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来源期刊
Nature Photonics
Nature Photonics 物理-光学
CiteScore
54.20
自引率
1.70%
发文量
158
审稿时长
12 months
期刊介绍: Nature Photonics is a monthly journal dedicated to the scientific study and application of light, known as Photonics. It publishes top-quality, peer-reviewed research across all areas of light generation, manipulation, and detection. The journal encompasses research into the fundamental properties of light and its interactions with matter, as well as the latest developments in optoelectronic devices and emerging photonics applications. Topics covered include lasers, LEDs, imaging, detectors, optoelectronic devices, quantum optics, biophotonics, optical data storage, spectroscopy, fiber optics, solar energy, displays, terahertz technology, nonlinear optics, plasmonics, nanophotonics, and X-rays. In addition to research papers and review articles summarizing scientific findings in optoelectronics, Nature Photonics also features News and Views pieces and research highlights. It uniquely includes articles on the business aspects of the industry, such as technology commercialization and market analysis, offering a comprehensive perspective on the field.
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