activity
20162023
most citedPredicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network

82 citations · 344 across the 13 of their papers we have counts for

collaborators

13 papers

quant-ph2023★ 2 cited

Entanglement Routing Based on Fidelity Curves

Bruno C. Coutinho, Raul Monteiro, Luís Bugalho +1

How to efficiently distribute entanglement over large-scale quantum networks is still an open problem that greatly depends on the technology considered. In this work, we consider q…

quant-ph2022

On the quantum simulation of complex networks

Duarte Magano, João Moutinho, Bruno Coutinho

Quantum walks provide a natural framework to approach graph problems with quantum computers, exhibiting speedups over their classical counterparts for tasks such as the search for…

quant-ph2022★ 3 cited

On the complexity of quantum link prediction in complex networks

João P. Moutinho, Duarte Magano, Bruno Coutinho

Link prediction methods use patterns in known network data to infer which connections may be missing. Previous work has shown that continuous-time quantum walks can be used to repr…

cs.AI2022★ 82 cited

Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network

Mario Krenn, Lorenzo Buffoni, Bruno Coutinho +13

A tool that could suggest new personalized research directions and ideas by taking insights from the scientific literature could significantly accelerate the progress of science. A…

quant-ph2022★ 21 cited

Quantum Error Correction via Noise Guessing Decoding

Diogo Cruz, Francisco A. Monteiro, Bruno C. Coutinho

Quantum error correction codes (QECCs) play a central role in both quantum communications and quantum computation. Practical quantum error correction codes, such as stabilizer code…

cs.SI2022

Network-based link prediction of scientific concepts -- a Science4Cast competition entry

Joao P. Moutinho, Bruno Coutinho, Lorenzo Buffoni

We report on a model built to predict links in a complex network of scientific concepts, in the context of the Science4Cast 2021 competition. We show that the network heavily favou…