Peter Bienstman

Broadening the set of algorithms and use-cases for analog combinatorial optimization accelerators

2021

Recent experimental results show how classical accelerators based on analog computing can outperform quantum annealing alternatives in benchmark tasks that require dense connection matrices. In Hewlett Packard Labs, we have been studying two alternatives: integrated …

Performance Enhancement via Synaptic Plasticity in an Integrated Photonic Recurrent Neural Network with Phase-Change Materials

2023

Synaptic plasticity, i.e. the ability of synaptic connections to strengthen or weaken depending on their input, is a fundamental component of learning and memory in biological neural networks [1]. This property allows the network parameters …

Photonic Reservoir Computing: Principles, Architectures and Applications for Sensing and Information Processing

2024

This presentation will describe the fundamental working principles of Photonic Reservoir Computing. It will elaborate on various photonic systems that implement the PhRC scheme, emphasizing their structure and functionality. Additionally, the potential applications of PhRC …

Code regarding the article "Reservoir computing with all-optical non-fading memory in a self-pulsing microresonator network"

2024 · arXiv (Cornell University)

Photonic neuromorphic computing may offer promising applications for a broad range of photonic sensors, including optical fiber sensors, to enhance their functionality while avoiding loss of information, energy consumption, and latency due to optical-electrical conversion. …