most citedOff-Diagonal Expansion Quantum Monte Carlo

27 citations

5 papers

physics.comp-ph2018

Towards Exascale Simulations of the ICM Dynamo with WENO-Wombat

J. Donnert, H. Jang, P. Mendygral +3

In galaxy clusters, modern radio interferometers observe non-thermal radio sources with unprecedented spatial and spectral resolution. For the first time, the new data allows to in…

cs.DC2018★ 9 cited

Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist

Alex Gittens, Kai Rothauge, Shusen Wang +6

Apache Spark is a popular system aimed at the analysis of large data sets, but recent studies have shown that certain computations---in particular, many linear algebra computations…

stat.ML2017★ 5 cited

Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction

Garrett B. Goh, Charles Siegel, Abhinav Vishnu +1

With access to large datasets, deep neural networks (DNN) have achieved human-level accuracy in image and speech recognition tasks. However, in chemistry, data is inherently small…

cond-mat.stat-mech2017★ 27 cited

Off-Diagonal Expansion Quantum Monte Carlo

Tameem Albash, Gene Wagenbreth, Itay Hen

We propose a Monte Carlo algorithm designed to simulate quantum as well as classical systems at equilibrium, bridging the algorithmic gap between quantum and classical thermal simu…

quant-ph2017★ 26 cited

Advantages of Unfair Quantum Ground-State Sampling

Brian Hu Zhang, Gene Wagenbreth, Victor Martin-Mayor +1

The debate around the potential superiority of quantum annealers over their classical counterparts has been ongoing since the inception of the field by Kadowaki and Nishimori close…