20 papers
Branching random walk in random environment
Xinxin Chen, Chenlin Gu, Zhiqi Zhao
We consider a branching random walk on \(\Z^d\) in a random environment given by Bernoulli site percolation with parameter \(p\in (0,1)\). In this model, each particle located at a…
Emulation of Entanglement Distribution Networks on a Quantum Computer
Ashley N. Tittelbaugh, Jerry Horgan, Rohan Bali +4
The paper demonstrates how quantum computers can emulate entanglement distribution networks and examines how degraded entanglement and communication latency impact teleportation‑ba…
OSNR/GSNR Prediction in Brownfield Links via a DLM-Anchored Hybrid Physics/ML Model
Agastya Raj, Venkata Virajit Garbhapu, Hiroyuki Ishihara +5
The paper proposes a hybrid physics‑based and machine‑learning model anchored by a digital line model (DLM) to accurately predict per‑channel power, OSNR, and GSNR in existing (bro…
Optical Network Digital Twin -- Practical Use Cases and Architecture
Hideki Nishizawa, Toru Mano, Kazuya Anazawa +17
With the widespread adoption of AI, machine-to-machine communications are rapidly increasing, reshaping the requirements for optical networks. Recent advances in Gaussian noise mod…
Spectrum Configuration Framework for Throughput Maximization in Open Systems with Roll-Off-Based QoT Optimization
Peyman Pahlevanzadeh, Venkata Virajit Garbhapu, Agastya Raj +3
We propose a spectrum-configuration framework for open and disaggregated optical systems that maximizes throughput while guaranteeing the quality of transmission (QoT) margins. The…
Variational Autoencoder Domain Adaptation for Cross-System Generalization in ML-Based SOP Monitoring
Leyla Sadighi, Stefan Karlsson, Carlos Natalino +7
Machine learning (ML) models trained to detect physical-layer threats on one optical fiber system often fail catastrophically when applied to a different system, due to variations…