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Programmable photonic integrated meshes for modular generation of optical entanglement links

Authors :
Dong, Mark
Zimmermann, Matthew
Heim, David
Choi, Hyeongrak
Clark, Genevieve
Leenheer, Andrew J.
Palm, Kevin J.
Witte, Alex
Dominguez, Daniel
Gilbert, Gerald
Eichenfield, Matt
Englund, Dirk
Source :
npj | quantum information (2023)
Publication Year :
2022

Abstract

Large-scale generation of quantum entanglement between individually controllable qubits is at the core of quantum computing, communications, and sensing. Modular architectures of remotely-connected quantum technologies have been proposed for a variety of physical qubits, with demonstrations reported in atomic and all-photonic systems. However, an open challenge in these architectures lies in constructing high-speed and high-fidelity reconfigurable photonic networks for optically-heralded entanglement among target qubits. Here we introduce a programmable photonic integrated circuit (PIC), realized in a piezo-actuated silicon nitride (SiN)-in-oxide CMOS-compatible process, that implements an N x N Mach-Zehnder mesh (MZM) capable of high-speed execution of linear optical transformations. The visible-spectrum photonic integrated mesh is programmed to generate optical connectivity on up to N = 8 inputs for a range of optically-heralded entanglement protocols. In particular, we experimentally demonstrated optical connections between 16 independent pairwise mode couplings through the MZM, with optical transformation fidelities averaging 0.991 +/- 0.0063. The PIC's reconfigurable optical connectivity suffices for the production of 8-qubit resource states as building blocks of larger topological cluster states for quantum computing. Our programmable PIC platform enables the fast and scalable optical switching technology necessary for network-based quantum information processors.<br />Comment: 21 pages, 4 figures, 6 supplementary figures

Subjects

Subjects :
Quantum Physics
Physics - Optics

Details

Database :
arXiv
Journal :
npj | quantum information (2023)
Publication Type :
Report
Accession number :
edsarx.2208.13911
Document Type :
Working Paper
Full Text :
https://doi.org/10.1038/s41534-023-00708-6