Low-loss phase-change material-based programmable mode converter for photonic computing
Source abstract
Abstract
Abstract Phase-change materials (PCMs)-based integrated photonic memory offers a viable pathway for the development of neuromorphic computing chips. The sizable optical contrast in the telecom band between amorphous and crystalline phases of PCM, in particular, Ge 2 Sb 2 Te 5 (GST), is used for multilevel programming. However, the high extinction coefficient k of crystalline GST leads to high optical loss, posing a serious challenge for scaling up the device array for practical use. In this work, we focus on the atomic understanding and application of the so-called low-loss PCM, Sb 2 Se 3 , through multiscale simulations. First, we elucidate the bonding origin of the wavelength-dependent optical properties of amorphous and crystalline Sb 2 Se 3 via ab initio calculations. Given the suppressed k in the telecom band, we design a programmable mode converter (PMC) waveguide device that utilizes only the contrast in refractive index n between amorphous and crystalline Sb 2 Se 3 to encode multiple optical levels per waveguide device. The finite-difference time-domain simulations show that a single PMC device can achieve 5-bit programming precision (32 levels) via direct laser writing, and the photonic tensor core formed by the PMC array could possibly be scaled to 128 × 128. Finally, a thorough comparison between low-loss PCM and conventional PCM is provided.
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Research context
OpenAlex topics: Phase-change materials and chalcogenides · Neural Networks and Reservoir Computing · Advanced Memory and Neural Computing
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (90)
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