Photonic Hybrid Quantum Computing
- URL: http://arxiv.org/abs/2510.00534v1
- Date: Wed, 01 Oct 2025 05:35:37 GMT
- Title: Photonic Hybrid Quantum Computing
- Authors: Jaehak Lee, Srikrishna Omkar, Yong Siah Teo, Seok-Hyung Lee, Hyukjoon Kwon, M. S. Kim, Hyunseok Jeong,
- Abstract summary: This review surveys hybrid photonic quantum computing, which exploits multiple photonic degrees of freedom to combine the complementary strengths of discrete and bosonic encodings.<n>We first outline the basic principles of discrete-variable, native continuous-variable, and bosonic-encoding paradigms.<n>We then summarise recent theoretical advances and state-of-the-art experimental demonstrations with particular emphasis on the hybrid approach.
- Score: 2.413750026580337
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Photons are a ubiquitous carrier of quantum information: they are fast, suffer minimal decoherence, and do not require huge cryogenic facilities. Nevertheless, their intrinsically weak photon-photon interactions remain a key obstacle to scalable quantum computing. This review surveys hybrid photonic quantum computing, which exploits multiple photonic degrees of freedom to combine the complementary strengths of discrete and bosonic encodings, thereby significantly mitigating the challenge of weak photon-photon interactions. We first outline the basic principles of discrete-variable, native continuous-variable, and bosonic-encoding paradigms. We then summarise recent theoretical advances and state-of-the-art experimental demonstrations with particular emphasis on the hybrid approach. Its unique advantages, such as efficient generation of resource states and nearly ballistic (active-feedforward-free) operations, are highlighted alongside remaining technical challenges. To facilitate a clear comparison, we explicitly present the error thresholds and resource overheads required for fault-tolerant quantum computing. Our work offers a focused overview that clarifies how the hybrid approach enables scalable and compatible architectures for quantum computing.
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