Search Results for author: Panagiotis Kl. Barkoutsos

Found 4 papers, 1 papers with code

Quantum Machine Learning Framework for Virtual Screening in Drug Discovery: a Prospective Quantum Advantage

no code implementations8 Apr 2022 Stefano Mensa, Emre Sahin, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli

Machine Learning (ML) for Ligand Based Virtual Screening (LB-VS) is an important in-silico tool for discovering new drugs in a faster and cost-effective manner, especially for emerging diseases such as COVID-19.

Drug Discovery Quantum Machine Learning

Variational learning for quantum artificial neural networks

no code implementations3 Mar 2021 Francesco Tacchino, Stefano Mangini, Panagiotis Kl. Barkoutsos, Chiara Macchiavello, Dario Gerace, Ivano Tavernelli, Daniele Bajoni

In the last few years, quantum computing and machine learning fostered rapid developments in their respective areas of application, introducing new perspectives on how information processing systems can be realized and programmed.

Quantum Physics

Variational Quantum Simulation of Ultrastrong Light-Matter Coupling

no code implementations18 Sep 2019 Agustin Di Paolo, Panagiotis Kl. Barkoutsos, Ivano Tavernelli, Alexandre Blais

We propose the simulation of quantum-optical systems in the ultrastrong-coupling regime using a variational quantum algorithm.

Quantum Physics

Improving Variational Quantum Optimization using CVaR

2 code implementations10 Jul 2019 Panagiotis Kl. Barkoutsos, Giacomo Nannicini, Anton Robert, Ivano Tavernelli, Stefan Woerner

The expectation is estimated as the sample mean of a set of measurement outcomes, while the parameters of the trial state are optimized classically.

Quantum Physics

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