collaborators

8 papers

cs.NI2026

Emerging Trends in Intelligent Sensing

Ghazi Sarwat Syed

The rapid proliferation of artificial intelligence, connected devices, and high speed mobile networks is driving unprecedented computational demands that challenge traditional sens…

physics.app-ph2026

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…

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…

cond-mat.mes-hall2025

Cryogenic In-Memory Computing with Phase-Change Memory

Davide G. F. Lombardo, Siddharth Gautam, Alberto Ferraris +3

In-memory computing (IMC) is an emerging non-von Neumann paradigm that leverages the intrinsic physics of memory devices to perform computations directly within the memory array. A…

physics.app-ph2025

A device-level compact model for mushroom-type phase change memory

Stephan Menzel, Benedikt Kersting, Rana Walied Ahmad +2

In this work we introduce a compact model for mushroom-type phase-change memory devices that incorporates the shape and size of the amorphous mark under different programming condi…