Open Access
Open access
Science advances, volume 5, issue 2

In-memory computing on a photonic platform

Carlos Ríos 1
Nathan Youngblood 1
Z. Cheng 1
Manuel Le Gallo 2
Wolfram H. P. Pernice 3
C. M. Wright 4
Abu Sebastian 2
H. Bhaskaran 1
Publication typeJournal Article
Publication date2019-02-28
Journal: Science advances
scimago Q1
SJR4.483
CiteScore21.4
Impact factor11.7
ISSN23752548
Multidisciplinary
Abstract
Nonvolatile multilevel phase-change memories on integrated photonic devices enable all-optical direct in-memory multiplications. Collocated data processing and storage are the norm in biological computing systems such as the mammalian brain. As our ability to create better hardware improves, new computational paradigms are being explored beyond von Neumann architectures. Integrated photonic circuits are an attractive solution for on-chip computing which can leverage the increased speed and bandwidth potential of the optical domain, and importantly, remove the need for electro-optical conversions. Here we show that we can combine integrated optics with collocated data storage and processing to enable all-photonic in-memory computations. By employing nonvolatile photonic elements based on the phase-change material, Ge2Sb2Te5, we achieve direct scalar and matrix-vector multiplication, featuring a novel single-shot Write/Erase and a drift-free process. The output pulse, carrying the information of the light-matter interaction, is the result of the computation. Our all-optical approach is novel, easy to fabricate and operate, and sets the stage for development of entirely photonic computers.

Top-30

Journals

2
4
6
8
10
2
4
6
8
10

Publishers

5
10
15
20
25
30
35
40
5
10
15
20
25
30
35
40
  • We do not take into account publications without a DOI.
  • Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Share
Cite this
GOST | RIS | BibTex
Found error?