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Auteurs principaux: Grovn, Emil, Bundgaard-Nielsen, Matias, Mørk, Jesper, Englund, Dirk, Heuck, Mikkel
Format: Preprint
Publié: 2026
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Accès en ligne:https://arxiv.org/abs/2602.11033
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author Grovn, Emil
Bundgaard-Nielsen, Matias
Mørk, Jesper
Englund, Dirk
Heuck, Mikkel
author_facet Grovn, Emil
Bundgaard-Nielsen, Matias
Mørk, Jesper
Englund, Dirk
Heuck, Mikkel
contents A fundamental challenge in photonics-based deterministic quantum information processing is to realize key transformations on time scales shorter than those of detrimental decoherence and loss mechanisms. This challenge has been addressed through device-focused approaches that aim to increase nonlinear interactions relative to decoherence rates. In this work, we adopt a complementary architecture-focused approach by proposing a recirculating quantum photonic network (RQPN) that minimizes the duration of quantum information processing tasks, thereby reducing the requirements on nonlinear interaction rates. The RQPN consists of a network of all-to-all connected nonlinear cavities with dynamically controlled waveguide couplings, and it processes information by capturing a photonic input state, recirculating photons between the cavities, and releasing a photonic output state. We demonstrate the RQPN's architectural advantage through two examples: first, we show that processing all qubits simultaneously yields faster operations than single- and two-qubit decompositions of the three-qubit Toffoli gate. Second, we demonstrate implementations of a measurement-free correction for single-photon loss, achieving up to seven-fold speedups and significantly improved hardware efficiency relative to state-of-the-art architecture proposals. Our work shows that a single hardware-efficient recirculating architecture substantially reduces the temporal overhead of multi-qubit gates and quantum error correction, thereby lowering the barrier to experimental realizations of deterministic photonic quantum information processing.
format Preprint
id arxiv_https___arxiv_org_abs_2602_11033
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Recirculating Quantum Photonic Networks for Fast Deterministic Quantum Information Processing
Grovn, Emil
Bundgaard-Nielsen, Matias
Mørk, Jesper
Englund, Dirk
Heuck, Mikkel
Quantum Physics
A fundamental challenge in photonics-based deterministic quantum information processing is to realize key transformations on time scales shorter than those of detrimental decoherence and loss mechanisms. This challenge has been addressed through device-focused approaches that aim to increase nonlinear interactions relative to decoherence rates. In this work, we adopt a complementary architecture-focused approach by proposing a recirculating quantum photonic network (RQPN) that minimizes the duration of quantum information processing tasks, thereby reducing the requirements on nonlinear interaction rates. The RQPN consists of a network of all-to-all connected nonlinear cavities with dynamically controlled waveguide couplings, and it processes information by capturing a photonic input state, recirculating photons between the cavities, and releasing a photonic output state. We demonstrate the RQPN's architectural advantage through two examples: first, we show that processing all qubits simultaneously yields faster operations than single- and two-qubit decompositions of the three-qubit Toffoli gate. Second, we demonstrate implementations of a measurement-free correction for single-photon loss, achieving up to seven-fold speedups and significantly improved hardware efficiency relative to state-of-the-art architecture proposals. Our work shows that a single hardware-efficient recirculating architecture substantially reduces the temporal overhead of multi-qubit gates and quantum error correction, thereby lowering the barrier to experimental realizations of deterministic photonic quantum information processing.
title Recirculating Quantum Photonic Networks for Fast Deterministic Quantum Information Processing
topic Quantum Physics
url https://arxiv.org/abs/2602.11033