3 papers
cs.LG2025
Quantum Machine Learning via Contrastive Training
Liudmila A. Zhukas, Vivian Ni Zhang, Qiang Miao +5
Quantum machine learning (QML) has attracted growing interest with the rapid parallel advances in large-scale classical machine learning and quantum technologies. Similar to classi…
quant-ph2024
Observation of the Symmetry-Protected Signature of 3-body Interactions
Liudmila A. Zhukas, Qingfeng Wang, Or Katz +2
Identifying and characterizing multi-body interactions in quantum processes remains a significant challenge. This is partly because 2-body interactions can produce an arbitrary tim…
quant-ph2024
Demonstration of a CAFQA-bootstrapped Variational Quantum Eigensolver on a Trapped-Ion Quantum Computer
Qingfeng Wang, Liudmila Zhukas, Qiang Miao +5
To enhance the variational quantum eigensolver (VQE), the CAFQA method can utilize classical computational capabilities to identify a better initial state than the Hartree-Fock met…