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Ferroelectric-based Pockels photonic memory

Author

Listed:
  • Zefeng Xu

    (National University of Singapore (NUS)
    NUS Graduate School
    Singapore Next-Generation Hybrid µ-Electronics Center (SHINE))

  • Chun-Kuei Chen

    (National University of Singapore (NUS)
    Singapore Next-Generation Hybrid µ-Electronics Center (SHINE))

  • Hong-Lin Lin

    (National University of Singapore (NUS))

  • Maheswari Sivan

    (National University of Singapore (NUS)
    Singapore Next-Generation Hybrid µ-Electronics Center (SHINE))

  • Evgeny Zamburg

    (National University of Singapore (NUS)
    Singapore Next-Generation Hybrid µ-Electronics Center (SHINE))

  • James Yong-Meng Lee

    (POET Technologies)

  • Suresh Venkatesan

    (POET Technologies)

  • Aaron Danner

    (National University of Singapore (NUS))

  • Aaron Voon-Yew Thean

    (National University of Singapore (NUS)
    NUS Graduate School
    Singapore Next-Generation Hybrid µ-Electronics Center (SHINE))

Abstract

Efficient data transfer between memory and photonic components is crucial for a wide range of applications. However, this necessity brings forth energy-efficient data movement challenges associated with the memory wall, underscoring the demand for a fast and low-energy electro-optic photonic memory solution. Here, we demonstrate a class of energy-efficient electro-optic devices, namely Pockels photonic memory, that combines low-field switchable ferroelectrics with lithium niobate’s Pockel’s effect. Among such devices, this article will describe in detail the integrated embodiment of a ferroelectric field-effect transistor with lithium niobate on insulator micro ring resonator. We achieve switchable and non-volatile multiple optical memory states (6 states per transistor) with ultra-low energy cost (femto Joule/state), while achieving robust 10 year data retention and read-write endurance exceeding 107 cycles. Furthermore, we demonstrate the possibility of linear memory state stacking. The Pockels photonic memory enables the scaling of reconfigurable photonic systems into the femto Joule/state energy efficiencies.

Suggested Citation

  • Zefeng Xu & Chun-Kuei Chen & Hong-Lin Lin & Maheswari Sivan & Evgeny Zamburg & James Yong-Meng Lee & Suresh Venkatesan & Aaron Danner & Aaron Voon-Yew Thean, 2025. "Ferroelectric-based Pockels photonic memory," Nature Communications, Nature, vol. 16(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-63850-z
    DOI: 10.1038/s41467-025-63850-z
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