Although the potential applications of quantum computing are widespread, a new feasibility study suggests quantum computers ...

Drug discovery has traditionally been a reductive process—narrowing down, filtering out, and optimizing within established ...

Abstract: In this article, a new variational adaptive Kalman filter with Gaussian-inverse-Wishart mixture distribution is proposed for a class of linear systems with both partially unknown state and ...

One of the biggest promises of quantum computing is the ability to simulate molecules ...

Abstract: In this article, we have provided a unified view of some basic theoretical foundations and main techniques in convex optimization, game theory, and VI theory. We put special emphasis on the ...

MSD has signed an agreement with Variational AI to use its generative AI (genAI) platform Enki in the discovery of new small-molecule medicines. Vancouver, Canada-based Variational – which emerged in ...

If you use this GitHub repository (or any modules associated with it), we would appreciate to cite our NeurIPS publication as follows: @inproceedings{muttenthaler2022vice, author = {Muttenthaler, ...

Two popular quantum computing algorithms for problems in chemistry may have very limited use even as quantum hardware ...

A study by scientists at Hunan University introduces a new hydrogen isotope separation method that leverages proton quantum ...

Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.