activity
20242026
most citedSingle Plane Spatial Mode Sorter

3 citations · 8 across the 13 of their papers we have counts for

collaborators

13 papers

quant-ph2026

End-to-End Quantum Key Distribution Across Hybrid Fiber and Free-Space Links with All-Optical Encoding Conversion

Khen Cohen, Tomer Nahum, Michael Tzukran +6

Quantum key distribution (QKD) promises information-theoretically secure communication, but future networks must bridge fiber and free-space links that naturally employ different p…

cond-mat.stat-mech2026

Distributed Acoustic Sensing for Urban Monitoring: Coverage Thresholds and Percolation

Khen Cohen, Ariel Lellouch

Distributed Acoustic Sensing (DAS) enables the repurposing of existing fiber-optic networks as ultra-dense, long-range seismic arrays for urban monitoring. However, constraints imp…

quant-ph2026

Boson Sampling as a Probe of Chaotic and Integrable Quantum Dynamics in a Photonic Chip

Yuancheng Zhan, Khen Cohen, Norman T. W. Koo +8

Quantum chaos plays a key role in understanding complex quantum dynamics, while integrated photonics offers unique advantages for quantum applications, including high-speed operati…

cond-mat.stat-mech2026

Implicit Binarization via Complex Phase Dynamics in Combinatorial Optimization

Khen Cohen, Mark Glass, Meir Feder +1

We introduce a physics-inspired continuous relaxation framework that yields substantially improved solutions for NP-hard combinatorial optimization problems, including Quadratic Un…

physics.optics2026★ 3 cited

Single Plane Spatial Mode Sorter

Khen Cohen, Yoav Yosif-Or, Yaron Oz +1

A mode sorter separates a set of M orthogonal spatial modes in a shared input channel into M different output channels. Here we present an analytic derivation and experimental vali…

physics.optics2025

High fidelity CNOT gates in photonic integrated circuits using composite segmented directional couplers

Jonatan Piasetzky, Amit Rotem, Yuval Warshavsky +4

Integrated photonic circuits are a promising platform for scalable quantum information processing, but their performance is often constrained by component sensitivity to fabricatio…

physics.optics2025

High-Fidelity Integrated Quantum Photonic Logic Via Robust Directional Couplers

Jonatan Piasetzky, Khen Cohen, Yehonatan Drori +4

Scalable quantum information processing with integrated photonics requires quantum logic operations with high fidelity and robustness. Directional couplers, the fundamental element…

physics.optics2024★ 1 cited

Robust Characterization of Integrated Photonics Directional Couplers

Jonatan Piasetzky, Yehonatan Drori, Yuval Warshavski +4

Directional couplers are essential components in integrated photonics. Given their widespread use, accurate characterization of directional couplers is crucial for ensuring optimal…

quant-ph2024

Generalized Type II Fusion of Cluster States

Noam Rimock, Khen Cohen, Yaron Oz

Measurement based quantum computation is a quantum computing paradigm that employs single-qubit measurements performed on an entangled resource state in the form of a cluster state…

stat.ML2024★ 1 cited

Classifying Overlapping Gaussian Mixtures in High Dimensions: From Optimal Classifiers to Neural Nets

Khen Cohen, Noam Levi, Yaron Oz

We derive closed-form expressions for the Bayes optimal decision boundaries in binary classification of high dimensional overlapping Gaussian mixture model (GMM) data, and show how…

hep-th2024★ 3 cited

Complexity Measure Diagnostics of Ergodic to Many-Body Localization Transition

Khen Cohen, Yaron Oz, De-liang Zhong

We introduce new diagnostics of the transition between the ergodic and many-body localization phases, which are based on complexity measures defined via the probability distributio…

quant-ph2024

Robust photonic quantum gates with large number of waveguide segments

Khen Cohen, Haim Suchowski, Yaron Oz

Realizing quantum information processors is challenged by errors and noise across all platforms. While composite segmentation schemes have been proposed in many systems, their appl…

cs.LG2024

Weak Correlations as the Underlying Principle for Linearization of Gradient-Based Learning Systems

Ori Shem-Ur, Khen Cohen, Aviv Orly +1

Deep learning models, such as wide neural networks, can be conceptualized as nonlinear dynamical physical systems characterized by a multitude of interacting degrees of freedom. Su…