Research

There are multiple initiatives, platforms and open resources in quantum computing, but it is not always easy to transform this scattered knowledge into meaningful learning experiences or useful solutions to real problems. At QUANTA we develop algorithms, tools and interdisciplinary approaches that integrate research and training in quantum computing. Our goal is to facilitate access to this field, create reusable educational materials and promote a deep understanding of its fundamentals and applications.

Highlighted

Open collaborative writing with Manubot

Daniel S. Himmelstein, Vincent Rubinetti, David R. Slochower, Dongbo Hu, Venkat S. Malladi, Casey S. Greene, Anthony Gitter

PLOS Computational Biology  ·  04 Dec 2020  ·  doi:10.1371/journal.pcbi.1007128

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Manubot

Manuscript Source

Website

open-science collaboration

All

2020

Open collaborative writing with Manubot

Daniel S. Himmelstein, Vincent Rubinetti, David R. Slochower, Dongbo Hu, Venkat S. Malladi, Casey S. Greene, Anthony Gitter

PLOS Computational Biology  ·  04 Dec 2020  ·  doi:10.1371/journal.pcbi.1007128

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

Manubot

Manuscript Source

Website

open-science collaboration

Constructing knowledge graphs and their biomedical applications

David N. Nicholson, Casey S. Greene

Computational and Structural Biotechnology Journal  ·  01 Jan 2020  ·  doi:10.1016/j.csbj.2020.05.017

2018

Sci-Hub provides access to nearly all scholarly literature

Daniel S Himmelstein, Ariel Rodriguez Romero, Jacob G Levernier, Thomas Anthony Munro, Stephen Reid McLaughlin, Bastian Greshake Tzovaras, Casey S Greene

eLife  ·  01 Mar 2018  ·  doi:10.7554/eLife.32822