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Modeling and benchmarking quantum optical neurons for efficient neural computation

Fig 2

Schematic architecture of a QONN with L layers implemented using Mach–Zehnder QONs.

Blue lines indicate electrical connections; green lines indicate laser paths. Each layer is color-coded. In the first layer (pink), the right-side light modulators are governed by input data, while weights govern the left-side light modulators. In deeper layers, right-side light modulators are driven by the outputs of the previous layer. QON outputs also feed the weight module for training. For clarity, not all connections are shown.

Fig 2

doi: https://doi.org/10.1371/journal.pone.0341545.g002