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The Goldilocks principle of learning unitaries by interlacing fixed operators with programmable phase shifters on a photonic chip
Programmable photonic integrated circuits represent an emerging technology that
amalgamates photonics and electronics, paving the way for light-based information …
amalgamates photonics and electronics, paving the way for light-based information …
Recent advancements in mode division multiplexing for communication and computation in silicon photonics
Mode Division Multiplexing (MDM) is a technique used over the past decade in Silicon
Photonics (SiPh) to incorporate more data into communication links by employing higher …
Photonics (SiPh) to incorporate more data into communication links by employing higher …
Auto-calibrating universal programmable photonic circuits: hardware error-correction and defect resilience
It is recently shown that discrete N?×? N linear unitary operators can be represented by
interlacing N?+? 1 phase shift layers with a fixed intervening operator such as discrete …
interlacing N?+? 1 phase shift layers with a fixed intervening operator such as discrete …
Photonic matrix multiplier makes a direction-finding sensor
We introduce a photonic integrated circuit solution for the direction-of-arrival estimation in
the optical frequency band. The proposed circuit is built on discrete sampling of the …
the optical frequency band. The proposed circuit is built on discrete sampling of the …
Learning arbitrary complex matrices by interlacing amplitude and phase masks with fixed unitary operations
Programmable photonic integrated circuits are an emerging technology that amalgamates
photonics and electronics, paving the way for light-based information processing at high …
photonics and electronics, paving the way for light-based information processing at high …
Inverse-designed integrated all-optical nonlinear activators for optical computing
Z Yang, J He, Z Yan, Y Hu, X Li, N Dong, J Wang - Optics Express, 2024 - opg.optica.org
Optical neural networks (ONNs) have been considered as an alternative solution to
overcome the arithmetic and energy bottlenecks of electronic neural networks. However, the …
overcome the arithmetic and energy bottlenecks of electronic neural networks. However, the …
Full Software Control on MZI-based Photonic Integrated Circuit
A software platform for quantum computing is required to run a complex algorithm on a real
quantum device through automatically converting a quantum circuit level algorithm to a …
quantum device through automatically converting a quantum circuit level algorithm to a …
Resiliency approaches in convolutional, photonic, and spiking neural networks
Resiliency Approaches in Convolutional, Photonic, and Spiking Neural Networks Page 1 Resiliency
Approaches in Convolutional, Photonic, and Spiking Neural Networks A. Bosio1, M. Gomes1, F …
Approaches in Convolutional, Photonic, and Spiking Neural Networks A. Bosio1, M. Gomes1, F …
Multi-transverse-mode silicon photonics for quantum computing
Photonics has been identified as a highly promising platform for optical classical and
quantum computing. In the realm of classical computing, the inherent parallelism of optics …
quantum computing. In the realm of classical computing, the inherent parallelism of optics …
Global-power-split-tree architecture for large-scale coherent optical matrix multiplication
Photonics holds the physical potential for achieving both high-speed and low-consumption
matrix multiplication. Nonetheless, due to the insertion loss of optical phase shifters and the …
matrix multiplication. Nonetheless, due to the insertion loss of optical phase shifters and the …