activity
20102026
most citedParallel convolution processing using an integrated photonic tensor core

1.9k citations · 4.2k across the 28 of their papers we have counts for

collaborators

29 papers

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.app-ph2026

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…

physics.optics2025

All-optical temporal integration mediated by subwavelength heat antennas

Yi Zhang, Nikolaos Farmakidis, Ioannis Roumpos +8

Optical computing systems deliver unrivalled processing speeds for scalar operations. Yet, integrated implementations have been constrained to low-dimensional tensor operations tha…

physics.chem-ph2024★ 3 cited

Electron Phase Detection in Single Molecules by Interferometry

Zhixin Chen, Jie-Ren Deng, Mengyun Wang +7

Interferometry has underpinned a century of discoveries, ranging from the disproval of the ether theory to the detection of gravitational waves, offering insights into wave dynamic…

physics.optics2024★ 36 cited

Nonlocal phase-change metaoptics for reconfigurable nonvolatile image processing

Guoce Yang, Mengyun Wang, June Sang Lee +10

The next generation of smart imaging and vision systems will require compact and tunable optical computing hardware to perform high-speed and low-power image processing. These requ…

physics.optics2024★ 4 cited

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…