6 citations · 12 across the 5 of their papers we have counts for
4 papers · 1 filter
Hybrid Quantum Graph Neural Network for Molecular Property Prediction
Michael Vitz, Hamed Mohammadbagherpoor, Samarth Sandeep +3
To accelerate the process of materials design, materials science has increasingly used data driven techniques to extract information from collected data. Specially, machine learnin…
Benchmarking Amplitude Estimation on a Superconducting Quantum Computer
Salvatore Certo, Anh Dung Pham, Daniel Beaulieu
Amplitude Estimation (AE) is a critical subroutine in many quantum algorithms, allowing for a quadratic speedup in various applications like those involving estimating statistics o…
Investigating potential energy surfaces of noncollinear molecule using variational quantum circuit
Anh Pham, Daniel Beaulieu
We demonstrate the simulation of a noncollinear molecule, e.g. H2O molecule using Variational Quantum Eigensolver (VQE) with high chemical accuracy. The 2D and 3D potential energy…
Max-cut Clustering Utilizing Warm-Start QAOA and IBM Runtime
Daniel Beaulieu, Anh Pham
Quantum optimization algorithms can be used to recreate unsupervised learning clustering of data by mapping the problem to a graph optimization problem and finding the minimum ener…