Light: Science & Applications (Aug 2023)

Electrical programmable multilevel nonvolatile photonic random-access memory

  • Jiawei Meng,
  • Yaliang Gui,
  • Behrouz Movahhed Nouri,
  • Xiaoxuan Ma,
  • Yifei Zhang,
  • Cosmin-Constantin Popescu,
  • Myungkoo Kang,
  • Mario Miscuglio,
  • Nicola Peserico,
  • Kathleen Richardson,
  • Juejun Hu,
  • Hamed Dalir,
  • Volker J. Sorger

DOI
https://doi.org/10.1038/s41377-023-01213-3
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 10

Abstract

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Abstract Photonic Random-Access Memories (P-RAM) are an essential component for the on-chip non-von Neumann photonic computing by eliminating optoelectronic conversion losses in data links. Emerging Phase-Change Materials (PCMs) have been showed multilevel memory capability, but demonstrations still yield relatively high optical loss and require cumbersome WRITE-ERASE approaches increasing power consumption and system package challenges. Here we demonstrate a multistate electrically programmed low-loss nonvolatile photonic memory based on a broadband transparent phase-change material (Ge2Sb2Se5, GSSe) with ultralow absorption in the amorphous state. A zero-static-power and electrically programmed multi-bit P-RAM is demonstrated on a silicon-on-insulator platform, featuring efficient amplitude modulation up to 0.2 dB/μm and an ultralow insertion loss of total 0.12 dB for a 4-bit memory showing a 100× improved signal to loss ratio compared to other phase-change-materials based photonic memories. We further optimize the positioning of dual microheaters validating performance tradeoffs. Experimentally we demonstrate a half-a-million cyclability test showcasing the robust approach of this material and device. Low-loss photonic retention-of-state adds a key feature for photonic functional and programmable circuits impacting many applications including neural networks, LiDAR, and sensors for example.