5 papers
Constrained Co-Design for Photonic Bayesian Neural Networks
Hendrik Borras, Xiao Wang, Bernhard Klein +4
Classical neural networks frequently produce overconfident predictions on ambiguous or out-of-distribution (OOD) data, a liability that grows with each AI system deployed in safety…
Voltage-Programmable Photon Statistics Using a High-Extinction Thin-film Lithium Niobate Modulator
Julian Rasmus Bankwitz, Ravi Pradip, Julius Römer +9
Controlling the statistical properties of light, namely the fluctuations in photon arrival, entropy and number, is essential for both classical and quantum photonics. While integra…
Multidimensional photonic computing
Ivonne Bente, Shabnam Taheriniya, Francesco Lenzini +5
The rapidly increasing demands for computational throughput, bandwidth, and memory capacity fueled by breakthroughs in machine learning pose substantial challenges for conventional…
Uncertainty Reasoning with Photonic Bayesian Machines
F. Brückerhoff-Plückelmann, H. Borras, S. U. Hulyal +12
Artificial intelligence (AI) systems increasingly influence safety-critical aspects of society, from medical diagnosis to autonomous mobility, making uncertainty awareness a centra…
A Case Study on the Performance Metrics of Integrated Photonic Computing
Frank Brückerhoff-Plückelmann, Jelle Dijkstra, Julian Büchel +7
Photonic processors use optical signals for computation, leveraging the high bandwidth and low loss of optical links. While many approaches have been proposed, including in memory…