Work

Application-Oriented Performance Benchmarks for Quantum Computing

Year: 2021

Type: dataset

Abstract: Complete dataset and Jupyter Notebook used to produce image files for the paper at https://arxiv.org/abs/2110.03137. To execute the notebook, copy the .ipynb file and the _data directory to the top level of the repository at: https://github.com/SRI-International/QC-App-Oriented-Benchmarks

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.6972743

Authors: Lubinski, Thomas, Johri, Sonika, Varosy, Paul, Coleman, Jeremiah, Zhao, Luning, Necaise, Jason, Baldwin, Charles H., Mayer, Karl, Proctor, Timothy

Institutions: IonQ (United States), Colorado School of Mines, Princeton University, D-Wave Systems (Canada), Quantinuum (United Kingdom), Quantinuum (United States), Sandia National Laboratories

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4393752180

Cites:

Cited by: 30

Related to: 10