193 citations · 759 across the 35 of their papers we have counts for
8 papers · 1 filter
Multidimensional Quantum Generative Modeling by Quantum Hartley Transform
Hsin-Yu Wu, Vincent E. Elfving, Oleksandr Kyriienko
We develop an approach for building quantum models based on the exponentially growing orthonormal basis of Hartley kernel functions. First, we design a differentiable Hartley featu…
Potential of quantum scientific machine learning applied to weather modelling
Ben Jaderberg, Antonio A. Gentile, Atiyo Ghosh +5
In this work we explore how quantum scientific machine learning can be used to tackle the challenge of weather modelling. Using parameterised quantum circuits as machine learning m…
Quantum Iterative Methods for Solving Differential Equations with Application to Computational Fluid Dynamics
Chelsea A. Williams, Antonio A. Gentile, Vincent E. Elfving +2
We propose quantum methods for solving differential equations that are based on a gradual improvement of the solution via an iterative process, and are targeted at applications in…
Quantum-Enhanced Neural Exchange-Correlation Functionals
Igor O. Sokolov, Gert-Jan Both, Art D. Bochevarov +6
Kohn-Sham Density Functional Theory (KS-DFT) provides the exact ground state energy and electron density of a molecule, contingent on the as-yet-unknown universal exchange-correlat…
Graph Algorithms with Neutral Atom Quantum Processors
Constantin Dalyac, Lucas Leclerc, Louis Vignoli +9
Neutral atom technology has steadily demonstrated significant theoretical and experimental advancements, positioning itself as a front-runner platform for running quantum algorithm…
Geometric quantum machine learning of BQP protocols and latent graph classifiers
Chukwudubem Umeano, Vincent E. Elfving, Oleksandr Kyriienko
Geometric quantum machine learning (GQML) aims to embed problem symmetries for learning efficient solving protocols. However, the question remains if (G)QML can be routinely used f…