Although similar integrative tools exist (Supplementary Note 2), no other open platform
shares all KBase’s features, which include the following:(i) comprehensive support for data …

Email is one of the most prevalent communication tools today, and solving the email overload
problem is pressingly urgent. A good way to alleviate email overload is to automatically …

Distributed training across several quantum computers could significantly improve the training
time and if we could share the learned model, not the data, it could potentially improve the …

We present a supercomputer-driven pipeline for in silico drug discovery using enhanced
sampling molecular dynamics (MD) and ensemble docking. Ensemble docking makes use of …

We propose a system for forecasting short-term solar irradiance based on multiple total sky
imagers (TSIs). The system utilizes a novel method of identifying and tracking clouds in three-…

Third-generation long-range DNA sequencing and mapping technologies are creating a
renaissance in high-quality genome sequencing. Unlike second-generation sequencing, which …

Long short-term memory (LSTM) is a kind of recurrent neural networks (RNN) for sequence
and temporal dependency data modeling and its effectiveness has been extensively …

We use quantum detector tomography to characterize the qubit readout in terms of
measurement positive operator-valued measures (POVMs) on IBM quantum computers IBM Q 5 …

This paper presents a quantum convolutional neural network (QCNN) for the classification
of high energy physics events. The proposed model is tested using a simulated dataset from …

Unpaired image-to-image translation has broad applications in art, design, and scientific
simulations. One early breakthrough was CycleGAN that emphasizes one-to-one mappings …