output
20182026
most citedHybrid Quantum-Classical Heuristic for the Bin Packing Problem

16 citations

10 papers

cs.NI2026

Interconnecting Regional QKD Networks: Hybrid Key Delivery Across Quantum Domains

David Barral, Aitor Brazaola-Vicario, Diego Cifrián +9

QKD technology is being increasingly adopted inside the network core for protecting information transport against any form of computational attacks. However, the use of QKD for wid…

cs.LG2025

Evaluating Spatio-Temporal Forecasting Trade-offs Between Graph Neural Networks and Foundation Models

Ragini Gupta, Naman Raina, Bo Chen +5

Modern IoT deployments for environmental sensing produce high volume spatiotemporal data to support downstream tasks such as forecasting, typically powered by machine learning mode…

quant-ph2025

Existence of a robust optimal control process for efficient measurements in a two-qubit system

Ricardo Rodriguez, Nam Nguyen, Elizabeth Behrman +2

The verification of quantum entanglement is essential for quality control in quantum communication. In this work, we propose an efficient protocol to directly verify the two-qubit…

quant-ph2025★ 4 cited

Satellites promise global-scale quantum networks

Sumit Goswami, Sayandip Dhara, Neil Sinclair +10

Academia, governments, and industry around the world are on a quest to build long-distance quantum communication networks for a future quantum internet. Using air and fiber channel…

quant-ph2025★ 6 cited

Quantum Dynamics Simulation of the Advection-Diffusion Equation

Hirad Alipanah, Feng Zhang, Yongxin Yao +6

The advection-diffusion equation is simulated on a superconducting quantum computer via several quantum algorithms. Three formulations are considered: (1) Trotterization, (2) varia…

physics.app-ph2024★ 2 cited

High-contrast absorption magnetometry in the visible to near-infrared range with nitrogen-vacancy ensembles

Florian Schall, Felix A. Hahl, Lukas Lindner +6

Magnetometry with nitrogen-vacancy (NV) centers has so far been measured via emission of light from NV centers or via absorption at the singlet transition at 1042 nm. Here, we demo…

quant-ph2024★ 14 cited

Neural quantum kernels: training quantum kernels with quantum neural networks

Pablo Rodriguez-Grasa, Yue Ban, Mikel Sanz

Quantum and classical machine learning have been naturally connected through kernel methods, which have also served as proof-of-concept for quantum advantage. Quantum embeddings en…

quant-ph2022★ 16 cited

Hybrid Quantum-Classical Heuristic for the Bin Packing Problem

Mikel Garcia de Andoin, Eneko Osaba, Izaskun Oregi +2

Optimization problems is one of the most challenging applications of quantum computers, as well as one of the most relevants. As a consequence, it has attracted huge efforts to obt…

cs.LG2021★ 2 cited

Temporal graph-based approach for behavioural entity classification

Francesco Zola, Lander Segurola, Jan Lukas Bruse +1

Graph-based analyses have gained a lot of relevance in the past years due to their high potential in describing complex systems by detailing the actors involved, their relations an…

stat.AP2018

A Method for Estimating the Probability of Extremely Rare Accidents in Complex Systems

Ítalo Romani de Oliveira, Jeffery Musiak

Estimating the probability of failures or accidents with aerospace systems is often necessary when new concepts or designs are introduced, as it is being done for Autonomous Aircra…