output
20132023
most citedCombining Matrix Product States and Noisy Quantum Computers for Quantum Simulation

17 citations

5 papers

quant-ph2023★ 17 cited

Combining Matrix Product States and Noisy Quantum Computers for Quantum Simulation

Baptiste Anselme Martin, Thomas Ayral, François Jamet +2

Matrix Product States (MPS) and Operators (MPO) have been proven to be a powerful tool to study quantum many-body systems but are restricted to moderately entangled states as the n…

quant-ph2022

Open Source Variational Quantum Eigensolver Extension of the Quantum Learning Machine (QLM) for Quantum Chemistry

Mohammad Haidar, Marko J. Rančić, Thomas Ayral +2

Quantum Chemistry (QC) is one of the most promising applications of Quantum Computing. However, present quantum processing units (QPUs) are still subject to large errors. Therefore…

cs.CV2022★ 3 cited

Deep learning based automatic detection of offshore oil slicks using SAR data and contextual information

Emna Amri, Hermann Courteille, A Benoit +4

Ocean surface monitoring, especially oil slick detection, has become mandatory due to its importance for oil exploration and risk prevention on ecosystems. For years, the detection…

cs.LG2022★ 12 cited

Generating unrepresented proportions of geological facies using Generative Adversarial Networks

Alhasan Abdellatif, Ahmed H. Elsheikh, Gavin Graham +2

In this work, we investigate the capacity of Generative Adversarial Networks (GANs) in interpolating and extrapolating facies proportions in a geological dataset. The new generated…

quant-ph2013

Quantum filtering using POVM measurements

Ram A. Somaraju, Alain Sarlette, Hugo Thienpont

The objective of this work is to develop a recursive, discrete time quantum filtering equation for a system that interacts with a probe, on which measurements are performed accordi…