OpenFermion: The Electronic Structure Package for Quantum Computers

7 code implementations • 20 Oct 2017 • Jarrod R. McClean, Ian D. Kivlichan, Kevin J. Sung, Damian S. Steiger, Yudong Cao, Chengyu Dai, E. Schuyler Fried, Craig Gidney, Brendan Gimby, Thomas Häner, Tarini Hardikar, Vojtěch Havlíček, Cupjin Huang, Zhang Jiang, Matthew Neeley, Thomas O'Brien, Isil Ozfidan, Maxwell D. Radin, Jhonathan Romero, Nicholas Rubin, Nicolas P. D. Sawaya, Kanav Setia, Sukin Sim, Mark Steudtner, Wei Sun, Fang Zhang, Ryan Babbush

Quantum simulation of chemistry and materials is predicted to be an important application for both near-term and fault-tolerant quantum devices.

Quantum Physics Chemical Physics Computational Physics

A Data Science Approach to Understanding Residential Water Contamination in Flint

no code implementations • 5 Jul 2017 • Alex Chojnacki, Chengyu Dai, Arya Farahi, Guangsha Shi, Jared Webb, Daniel T. Zhang, Jacob Abernethy, Eric Schwartz

This is the nation's largest dataset on lead in a municipal water system.

Data Science in Service of Performing Arts: Applying Machine Learning to Predicting Audience Preferences

no code implementations • 30 Sep 2016 • Jacob Abernethy, Cyrus Anderson, Alex Chojnacki, Chengyu Dai, John Dryden, Eric Schwartz, Wenbo Shen, Jonathan Stroud, Laura Wendlandt, Sheng Yang, Daniel Zhang

Performing arts organizations aim to enrich their communities through the arts.

BIG-bench Machine Learning Collaborative Filtering +1

Flint Water Crisis: Data-Driven Risk Assessment Via Residential Water Testing

no code implementations • 30 Sep 2016 • Jacob Abernethy, Cyrus Anderson, Chengyu Dai, Arya Farahi, Linh Nguyen, Adam Rauh, Eric Schwartz, Wenbo Shen, Guangsha Shi, Jonathan Stroud, Xinyu Tan, Jared Webb, Sheng Yang

In this analysis, we find that lead service lines are not the only factor that is predictive of the risk of lead contamination of water.