most citedExploring Quantum Active Learning for Materials Design and Discovery

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph20241 cited

Quantum Algorithms for Optimal Power Flow

Sajad Fathi Hafshejani, Md Mohsin Uddin, David Neufeld +2

This paper explores the use of quantum computing, specifically the use of HHL and VQLS algorithms, to solve optimal power flow problem in electrical grids. We investigate the effec…

quant-ph2024

Quantum Active Learning for Structural Determination of Doped Nanoparticles -- a Case Study of 4Al@Si

Maicon Pierre Lourenço, Mosayeb Naseri, Lizandra Barrios Herrera +4

Active learning (AL) has been widely applied in chemistry and materials science. In this work we propose a quantum active learning (QAL) method for automatic structural determinati…

cs.DS2024

Forest Covers and Bounded Forest Covers

Daya Ram Gaur, Barun Gorain, Shaswati Patra +1

We study approximation algorithms for the forest cover and bounded forest cover problems. A probabilistic approximation algorithm for the forest cover problem is given using…

quant-ph2024

A hybrid quantum solver for the Lorenz system

Sajad Fathi Hafshejani, Daya Gaur, Arundhati Dasgupta +3

We develop a hybrid classical-quantum method for solving the Lorenz system. We use the forward Euler method to discretize the system in time, transforming it into a system of equat…

quant-ph20242 cited

Exploring Quantum Active Learning for Materials Design and Discovery

Maicon Pierre Lourenço, Hadi Zadeh-Haghighi, Jiří Hostaš +4

The meeting of artificial intelligence (AI) and quantum computing is already a reality; quantum machine learning (QML) promises the design of better regression models. In this work…