activity
20202025
most citedApplication of Quantum Machine Learning using the Quantum Variational Classifier Method to High Energy Physics Analysis at the LHC on IBM Quantum Computer Simulator and Hardware with 10 qubits

87 citations · 179 across the 5 of their papers we have counts for

collaborators

5 papers

hep-ex2025★ 3 cited

Quality Concerns Caused by Quality Control -- deformation of silicon strip detector modules in thermal cycling tests

Richard Salami, Luise Poley, Kirsten Affolder +31

The ATLAS experiment at the Large Hadron Collider (LHC) is currently preparing to replace its present Inner Detector (ID) with the upgraded, all-silicon Inner Tracker (ITk) for its…

cs.CV2022

GLARE: A Dataset for Traffic Sign Detection in Sun Glare

Nicholas Gray, Megan Moraes, Jiang Bian +6

Real-time machine learning object detection algorithms are often found within autonomous vehicle technology and depend on quality datasets. It is essential that these algorithms wo…

cond-mat.mtrl-sci2022★ 3 cited

A Low-Cost Robot Science Kit for Education with Symbolic Regression for Hypothesis Discovery and Validation

Logan Saar, Haotong Liang, Alex Wang +4

The next generation of physical science involves robot scientists - autonomous physical science systems capable of experimental design, execution, and analysis in a closed loop. Su…

quant-ph2021★ 86 cited

Application of Quantum Machine Learning using the Quantum Kernel Algorithm on High Energy Physics Analysis at the LHC

Sau Lan Wu, Shaojun Sun, Wen Guan +20

Quantum machine learning could possibly become a valuable alternative to classical machine learning for applications in High Energy Physics by offering computational speed-ups. In…

quant-ph2020★ 87 cited

Application of Quantum Machine Learning using the Quantum Variational Classifier Method to High Energy Physics Analysis at the LHC on IBM Quantum Computer Simulator and Hardware with 10 qubits

Sau Lan Wu, Jay Chan, Wen Guan +12

One of the major objectives of the experimental programs at the LHC is the discovery of new physics. This requires the identification of rare signals in immense backgrounds. Using…