9 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…
Probabilistic Photonic Computing
Frank Brückerhoff-Plückelmann, Anna P. Ovvyan, Akhil Varri +8
Probabilistic computing excels in approximating combinatorial problems and modelling uncertainty. However, using conventional deterministic hardware for probabilistic models is cha…
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…
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…
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…
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…