Extensible universal photonic quantum computing with nonlinearity
Shang Yu, Jinzhao Sun, Kuan-Cheng Chen, Zhi-Huai Yang, Zhenghao Li, Ewan Mer, Yazeed K. Alwehaibi, Shana H. Winston, Dayne Marcus D. Lopena, Zi-Cheng Zhang, Guang Yang, Runxia Tao, Mingti Zhou, Gerard J. Machado, Ying Dong, Roberto Bondesan, Vlatko Vedral, M. S. Kim

TL;DR
This paper presents an extensible photonic quantum computing platform that integrates scalable linear optics with nonlinear modules, enabling universal gates, quantum state generation, and simulation of complex many-body dynamics.
Contribution
The authors introduce a scalable architecture combining linear and nonlinear photonic components, enabling universal quantum gates and advanced quantum simulations.
Findings
Demonstrated quasi-deterministic generation of Gottesman-Kitaev-Preskill states
Simulated Bose-Hubbard model dynamics with photonic hardware
Established a pathway for fault-tolerant photonic quantum computing
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 major bottleneck, leaving most optical experiments without nonlinear operations and, consequently, incapable of achieving universality. Here, we report an extensible photonic computer that supports a universal 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…
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Taxonomy
TopicsNeural Networks and Reservoir Computing · Quantum Information and Cryptography · Quantum Computing Algorithms and Architecture
