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May 29, 20260 citationsOpen Access

Er-Mediated Phononic Waveguide-QED Architecture for Scalable Microwave–Optical Quantum Transduction in Thin-Film Lithium Niobate

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FPFrancis Procaccia

Key Points

  • The research aims to develop a scalable quantum transduction architecture utilizing Er-doping in thin-film lithium niobate for efficient microwave-optical conversion.
  • Proposed a distributed quantum transduction architecture incorporating 4 GHz phonons and telecom optical photons.
  • Implemented a two-step waveguide-QED Hamiltonian to address coherence issues.
  • Identified strain susceptibility and developed a computational framework for analysis.
  • Achieved an improved mechanical Q of 3–5×, nearing the strong-coupling threshold of Q_m ≥ 10⁵.
  • Targeted a T₂ coherence time of 5–10 ms, yielding a ratio exceeding 250,000.
  • Outlined a six-phase experimental roadmap with clear go/no-go criteria.

Abstract

Er-Mediated Phononic Waveguide-QED Architecture for Scalable Microwave–Optical Quantum Transduction in Thin-Film Lithium Niobate Francis Procaccia, Independent Researcher, Santa Clara, CA We propose a distributed quantum transduction architecture in which 4 GHz phonons propagate along a phononic crystal bus waveguide in Er-doped thin-film lithium niobate and are locally converted to telecom optical photons at resonant cavity nodes co-localized with Er³⁺ ensembles. Unlike single-resonator transducers, the phonon-first bus enables spatial multiplexing of N independent transduction sites on one chip. A two-step waveguide-QED Hamiltonian resolves the transit-time problem that makes propagating-mode architectures categorically incapable of coherent coupling. A Nb/goldene bilayer at the IDT interface suppresses TLS losses for a 3–5× mechanical Q improvement toward the Qₘ ≥ 10⁵ strong-coupling threshold. ZEFOZ operation with ¹⁶⁷Er enrichment targets T₂ of 5–10 ms, giving a coherence-to-gate-time ratio exceeding 250, 000. The dominant unknown — the strain susceptibility G_ε for the Er³⁺ telecom transition in LiNbO₃, is identified and a complete DFPT + embedded-cluster (CASSCF/NEVPT2) computational framework to extract it ab initio is specified. A six-phase experimental roadmap with explicit go/no-go criteria is provided.

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Cite This Study

Francis Procaccia (2026) studied this question.

synapsesocial.com/papers/6a192eb9fab5b468c4417f37https://doi.org/10.5281/zenodo.20419288
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