Figure 1 | Schematic of LC-based photonic in-memory computing. (IMAGE)

Light Publishing Center, Changchun Institute of Optics, Fine Mechanics And Physics, CAS

Figure 1 | Schematic of LC-based photonic in-memory computing.

Caption

Figure 1 | Schematic of LC-based photonic in-memory computing. a, Schematic of the Poincaré-sphere-connected vectorial DNN. b, One of the LC-based reconfigurable Poincaré spheres in (a), showing that the trajectory (red arrow) on the Poincaré sphere can vary over time and act as nonvolatile photonic memory by rewriting the in-plane orientation of LC molecules (blue rods sandwiched by glass substrates). c, Photonic memory mechanism of the LC-based Poincaré spheres, where nematic LC molecules tend to reorient orthogonal to the polarization of UV light in a nonvolatile manner due to the intermolecular interactions from photosensitive dye molecules. d, Potential application of the LC vectorial DNN in Poincaré-sphere-perceptive photonic in-memory computing. Compared to the conventional approach, where sensing, computing, and recording of polarized objects are performed in separate electronic modules, the vectorial DNN can complete all these processes in the same all-optical system.

Credit

Peng Chen et al.

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