Frontmatter

Articles in the same Issue

1. Frontmatter
2. Editorial
3. Neural network learning with photonics and for photonic circuit design
4. Reviews
5. From 3D to 2D and back again
6. Photonic multiplexing techniques for neuromorphic computing
7. Perspectives
8. A large scale photonic matrix processor enabled by charge accumulation
9. Perspective on 3D vertically-integrated photonic neural networks based on VCSEL arrays
10. Photonic online learning: a perspective
11. Research Articles
12. All-optical ultrafast ReLU function for energy-efficient nanophotonic deep learning
13. Artificial optoelectronic spiking neuron based on a resonant tunnelling diode coupled to a vertical cavity surface emitting laser
14. Parallel and deep reservoir computing using semiconductor lasers with optical feedback
15. Neural computing with coherent laser networks
16. Optical multi-task learning using multi-wavelength diffractive deep neural networks
17. Diffractive interconnects: all-optical permutation operation using diffractive networks
18. Photonic reservoir computing for nonlinear equalization of 64-QAM signals with a Kramers–Kronig receiver
19. Deriving task specific performance from the information processing capacity of a reservoir computer
20. Transfer learning for photonic delay-based reservoir computing to compensate parameter drift
21. Analog nanophotonic computing going practical: silicon photonic deep learning engines for tiled optical matrix multiplication with dynamic precision
22. A self-similar sine–cosine fractal architecture for multiport interferometers
23. Power monitoring in a feedforward photonic network using two output detectors
24. Fabrication-conscious neural network based inverse design of single-material variable-index multilayer films
25. Multi-task topology optimization of photonic devices in low-dimensional Fourier domain via deep learning