Open Software:

• Tequila: an Extensible Quantum Information and Learning Architecture to simplify and accelerate implementation of new ideas for quantum algorithms.
• Genetic Algortihms: codebase for the paper: Augmenting genetic algorithms with deep neural networks for exploring the chemical space
• SELFIES: SELF-referencIng Embedded Strings, a general-purpose, sequence-based, robust representation of semantically constrained graphs.
• ChemOS: an orchestration software to democratize autonomous discovery.
• Diffiqult: A fully autodifferentiable and variational HF.
• Theseus: Conceptual understanding through efficient inverse-design of quantum optical experiments
• More projects in our Github repositories.

Open Data:

• We ran the Harvard Clean Energy Project. Download page is here.