1 citations · 1 across the 2 of their papers we have counts for
3 papers
quant-ph2026
When cheap gradients fail: the measurement cost of attacking quantum classifiers
Bacui Li, Chandra Thapa, Tansu Alpcan +1
Adversarial perturbations threaten machine learning classifiers, including variational quantum classifiers. We show that finite quantum measurement statistics (shot noise) act as a…
cs.LG2024★ 1 cited
Computable Model-Independent Bounds for Adversarial Quantum Machine Learning
Bacui Li, Tansu Alpcan, Chandra Thapa +1
By leveraging the principles of quantum mechanics, QML opens doors to novel approaches in machine learning and offers potential speedup. However, machine learning models are well-d…
quant-ph2023
Optimal Single Qubit Tomography: Realization of Locally Optimal Measurements on a Quantum Computer
Bacui Li, Lorcan O. Conlon, Ping Koy Lam +1
Quantum bits, or qubits, are the fundamental building blocks of present quantum computers. Hence, it is important to be able to characterize the state of a qubit as accurately as p…