143 citations · 807 across the 14 of their papers we have counts for
5 papers · 1 filter
Quantum Adversarial Machine Learning
Sirui Lu, Lu-Ming Duan, Dong-Ling Deng
Adversarial machine learning is an emerging field that focuses on studying vulnerabilities of machine learning approaches in adversarial settings and developing techniques accordin…
Adversarial Machine Learning Phases of Matter
Si Jiang, Sirui Lu, Dong-Ling Deng
We study the robustness of machine learning approaches to adversarial perturbations, with a focus on supervised learning scenarios. We find that typical phase classifiers based on…
Optimizing QAOA: Success Probability and Runtime Dependence on Circuit Depth
Murphy Yuezhen Niu, Sirui Lu, Isaac L. Chuang
The quantum approximate optimization algorithm~(QAOA) first proposed by Farhi et al. promises near-term applications based on its simplicity, universality, and provable optimality.…
Machine Learning Topological Phases with a Solid-state Quantum Simulator
Wenqian Lian, Sheng-Tao Wang, Sirui Lu +11
We report an experimental demonstration of a machine learning approach to identify exotic topological phases, with a focus on the three-dimensional chiral topological insulators. W…
Determining system Hamiltonian from eigenstate measurements without correlation functions
Shi-Yao Hou, Ningping Cao, Sirui Lu +3
Local Hamiltonians arise naturally in physical systems. Despite its seemingly `simple' local structure, exotic features such as nonlocal correlations and topological orders exhibit…