12 citations · 43 across the 19 of their papers we have counts for
6 papers · 1 filter
Efficient precision simulation of processes with many-jet final states at the LHC
Enrico Bothmann, Taylor Childers, Christian Guetschow +5
We present a scalable technique for the simulation of collider events with multi-jet final states, based on an improved parton-level event file format. The method is implemented fo…
Understanding Automatic Differentiation Pitfalls
Jan Hückelheim, Harshitha Menon, William Moses +3
Automatic differentiation, also known as backpropagation, AD, autodiff, or algorithmic differentiation, is a popular technique for computing derivatives of computer programs accura…
Tackling the Qubit Mapping Problem with Permutation-Aware Synthesis
Ji Liu, Ed Younis, Mathias Weiden +3
We propose a novel hierarchical qubit mapping and routing algorithm. First, a circuit is decomposed into blocks that span an identical number of qubits. In the second stage permuta…
Model Checking Race-freedom When "Sequential Consistency for Data-race-free Programs" is Guaranteed
Wenhao Wu, Jan Hückelheim, Paul D. Hovland +2
Many parallel programming models guarantee that if all sequentially consistent (SC) executions of a program are free of data races, then all executions of the program will appear t…
ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales
Xingfu Wu, Prasanna Balaprakash, Michael Kruse +7
As we enter the exascale computing era, efficiently utilizing power and optimizing the performance of scientific applications under power and energy constraints has become critical…
QContext: Context-Aware Decomposition for Quantum Gates
Ji Liu, Max Bowman, Pranav Gokhale +4
In this paper we propose QContext, a new compiler structure that incorporates context-aware and topology-aware decompositions. Because of circuit equivalence rules and resynthesis,…