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Gradient Echo Quantum Memory in Warm Atomic Vapor
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Ferroelectric-based Pockels photonic memory.

Zefeng Xu1,2,3, Chun-Kuei Chen1,3, Hong-Lin Lin1

  • 1Department of Electrical and Computer Engineering, National University of Singapore (NUS), Singapore, 117583, Singapore.

Nature Communications
|September 19, 2025
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Summary
This summary is machine-generated.

Researchers developed Pockels photonic memory using ferroelectrics and lithium niobate. This fast, low-energy electro-optic device offers non-volatile optical memory states with femtojoule energy efficiency.

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Area of Science:

  • Photonics and Materials Science
  • Integrated Optics
  • Non-volatile Memory Technologies

Background:

  • Efficient data transfer between memory and photonic components is hindered by the "memory wall."
  • There is a critical need for fast, low-energy electro-optic photonic memory solutions.
  • Existing photonic memory solutions often face limitations in energy efficiency and speed.

Purpose of the Study:

  • To demonstrate an energy-efficient electro-optic photonic memory device.
  • To explore the integration of ferroelectric field-effect transistors with lithium niobate on insulator micro ring resonators.
  • To achieve non-volatile optical memory states with ultra-low energy consumption.

Main Methods:

  • Utilized low-field switchable ferroelectrics combined with lithium niobate's Pockel's effect.
  • Integrated a ferroelectric field-effect transistor with a lithium niobate on insulator micro ring resonator.
  • Characterized optical memory states, energy cost, data retention, and read-write endurance.

Main Results:

  • Achieved switchable and non-volatile multiple optical memory states (6 states per transistor).
  • Demonstrated ultra-low energy cost at the femtojoule/state level.
  • Confirmed robust 10-year data retention and over 10^7 read-write cycles.

Conclusions:

  • Pockels photonic memory offers a promising solution for energy-efficient data movement in photonic systems.
  • The developed device enables the scaling of reconfigurable photonic systems with femtojoule/state energy efficiencies.
  • Linear memory state stacking was demonstrated, enhancing device functionality.