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cs.LG2025

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…

physics.comp-ph2025

Integrated photonic multigrid solver for partial differential equations

Timoteo Lee, Frank Brückerhoff-Plückelmann, Jelle Dijkstra +2

Solving partial differential equations is crucial to analysing and predicting complex, large-scale physical systems but pushes conventional high-performance computers to their limi…

physics.optics2025

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…

cond-mat.dis-nn2025

Fully Parallel Multi-Agent Photonic Optimizer

Ghazi Sarwat Syed, Philipp Schmidt, Frank Brückerhoff-Plückelmann +3

Optimization problems are central to many important cross-disciplinary applications.In their conventional implementations, the sequential nature of operations imposes strict limita…

quant-ph2025

Calculating Vibronic Spectra with a linear algorithm based on Gaussian Boson Sampling

I. Konyshev, R. Pradip, O. Page +5

Accurately simulating molecular vibronic spectra remains computationally challenging due to the exponential scaling of required calculations. Here, we show that employing the linea…