374 citations · 418 across the 5 of their papers we have counts for
6 papers
Efficient Phase Diagram Sampling by Active Learning
Chengyu Dai, Isaac R. Bruss, Sharon C. Glotzer
We address the problem of efficient phase diagram sampling by adopting active learning techniques from machine learning, and achieve an 80% reduction in the sample size (number of…
OpenFermion: The Electronic Structure Package for Quantum Computers
Jarrod R. McClean, Kevin J. Sung, Ian D. Kivlichan +32
Quantum simulation of chemistry and materials is predicted to be an important application for both near-term and fault-tolerant quantum devices. However, at present, developing and…
A Data Science Approach to Understanding Residential Water Contamination in Flint
Alex Chojnacki, Chengyu Dai, Arya Farahi +5
When the residents of Flint learned that lead had contaminated their water system, the local government made water-testing kits available to them free of charge. The city governmen…
Data Science in Service of Performing Arts: Applying Machine Learning to Predicting Audience Preferences
Jacob Abernethy, Cyrus Anderson, Alex Chojnacki +8
Performing arts organizations aim to enrich their communities through the arts. To do this, they strive to match their performance offerings to the taste of those communities. Succ…
Flint Water Crisis: Data-Driven Risk Assessment Via Residential Water Testing
Jacob Abernethy, Cyrus Anderson, Chengyu Dai +10
Recovery from the Flint Water Crisis has been hindered by uncertainty in both the water testing process and the causes of contamination. In this work, we develop an ensemble of pre…
Experimental Realization of Universal Geometric Quantum Gates with Solid-State Spins
C. Zu, W. -B. Wang, L. He +4
Experimental realization of a universal set of quantum logic gates is the central requirement for implementation of a quantum computer. An all-geometric approach to quantum computa…