4 citations · 4 across the 5 of their papers we have counts for
6 papers
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…
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…
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…
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…
Probabilistic Photonic Computing with Chaotic Light
Frank Brückerhoff-Plückelmann, Hendrik Borras, Bernhard Klein +10
Biological neural networks effortlessly tackle complex computational problems and excel at predicting outcomes from noisy, incomplete data, a task that poses significant challenges…
Speeding up Fermionic Lattice Calculations with Photonic Accelerated Inverters
Felipe Attanasio, Marc Bauer, Jelle Dijkstra +3
Lattice field theory (LFT) is the standard non-perturbative method to perform numerical calculations of quantum field theory. However, the typical bottleneck of fermionic lattice c…