activity
20242026
collaborators

21 papers

math.PR2026

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…

quant-ph2026

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…

cs.NI2026

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…

eess.SY2026

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…

cs.NI2026

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…

quant-ph2026

Learnability, Identifiability, and Monitor Placement in Quantum Network Tomography

Athira Kalavampara Raghunadhan, Matheus Guedes De Andrade, Don Towsley +3

Reliable quantum communication requires accurate characterization of the quantum links. This paper studies Quantum Network Tomography (QNT) under limited monitoring resources, wher…