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20072023
most citedFast and accurate multivariate Gaussian modeling of protein families: Predicting residue contacts and protein-interaction partners

158 citations · 1.4k across the 32 of their papers we have counts for

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quant-ph2021★ 2 cited

Quantum Approximate Optimization Algorithm applied to the binary perceptron

Pietro Torta, Glen B. Mbeng, Carlo Baldassi +2

We apply digitized Quantum Annealing (QA) and Quantum Approximate Optimization Algorithm (QAOA) to a paradigmatic task of supervised learning in artificial neural networks: the opt…

quant-ph2017★ 67 cited

Efficiency of quantum versus classical annealing in non-convex learning problems

Carlo Baldassi, Riccardo Zecchina

Quantum annealers aim at solving non-convex optimization problems by exploiting cooperative tunneling effects to escape local minima. The underlying idea consists in designing a cl…