activity
20142024
most citedQuantum Algorithm Implementations for Beginners

136 citations · 249 across the 5 of their papers we have counts for

collaborators

5 papers

physics.comp-ph2024★ 15 cited

Breaking the Molecular Dynamics Timescale Barrier Using a Wafer-Scale System

Kylee Santos, Stan Moore, Tomas Oppelstrup +11

Molecular dynamics (MD) simulations have transformed our understanding of the nanoscale, driving breakthroughs in materials science, computational chemistry, and several other fiel…

quant-ph2023★ 85 cited

Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions

Yuri Alexeev, Maximilian Amsler, Paul Baity +124

Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of e…

cs.ET2018★ 136 cited

Quantum Algorithm Implementations for Beginners

Abhijith J., Adetokunbo Adedoyin, John Ambrosiano +31

As quantum computers become available to the general public, the need has arisen to train a cohort of quantum programmers, many of whom have been developing classical computer prog…

cs.PL2018

Performing Fully Parallel Constraint Logic Programming on a Quantum Annealer

Scott Pakin

A quantum annealer exploits quantum effects to solve a particular type of optimization problem. The advantage of this specialized hardware is that it effectively considers all poss…

stat.AP2014★ 13 cited

Modeling and Predicting Power Consumption of High Performance Computing Jobs

Curtis Storlie, Joe Sexton, Scott Pakin +3

Power is becoming an increasingly important concern for large supercomputing centers. Due to cost concerns, data centers are becoming increasingly limited in their ability to enhan…