TY - JOUR
T1 - QInfer
T2 - statistical inference software for quantum applications
AU - Granade, Christopher
AU - Ferrie, Christopher
AU - Hincks, Ian
AU - Casagrande, Steven
AU - Alexander, Thomas
AU - Gross, Jonathan
AU - Kononenko, Michal
AU - Sanders, Yuval
PY - 2017/4/25
Y1 - 2017/4/25
N2 - Characterizing quantum systems through experimental data is critical to applications as diverse as metrology and quantum computing. Analyzing this experimental data in a robust and reproducible manner is made challenging, however, by the lack of readily-available software for performing principled statistical analysis. We improve the robustness and reproducibility of characterization by introducing an open-source library, QInfer, to address this need. Our library makes it easy to analyze data from tomography, randomized benchmarking, and Hamiltonian learning experiments either in post-processing, or online as data is acquired. QInfer also provides functionality for predicting the performance of proposed experimental protocols from simulated runs. By delivering easy-to-use characterization tools based on principled statistical analysis, Qlnfer helps address many outstanding challenges facing quantum technology.
AB - Characterizing quantum systems through experimental data is critical to applications as diverse as metrology and quantum computing. Analyzing this experimental data in a robust and reproducible manner is made challenging, however, by the lack of readily-available software for performing principled statistical analysis. We improve the robustness and reproducibility of characterization by introducing an open-source library, QInfer, to address this need. Our library makes it easy to analyze data from tomography, randomized benchmarking, and Hamiltonian learning experiments either in post-processing, or online as data is acquired. QInfer also provides functionality for predicting the performance of proposed experimental protocols from simulated runs. By delivering easy-to-use characterization tools based on principled statistical analysis, Qlnfer helps address many outstanding challenges facing quantum technology.
UR - http://www.scopus.com/inward/record.url?scp=85093670481&partnerID=8YFLogxK
U2 - 10.22331/q-2017-04-25-5
DO - 10.22331/q-2017-04-25-5
M3 - Article
VL - 1
SP - 1
EP - 19
JO - Quantum
JF - Quantum
SN - 2521-327X
M1 - 5
ER -