69 citations · 83 across the 2 of their papers we have counts for
6 papers · 1 filter
Quantum federated learning through blind quantum computing
Weikang Li, Sirui Lu, Dong-Ling Deng
Private distributed learning studies the problem of how multiple distributed entities collaboratively train a shared deep network with their private data unrevealed. With the secur…
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…
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.…
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…
Efficient Representation of Topologically Ordered States with Restricted Boltzmann Machines
Sirui Lu, Xun Gao, L. -M. Duan
Representation by neural networks, in particular by restricted Boltzmann machines (RBM), has provided a powerful computational tool to solve quantum many-body problems. An importan…
Local-measurement-based quantum state tomography via neural networks
Tao Xin, Sirui Lu, Ningping Cao +5
Quantum state tomography is a daunting challenge of experimental quantum computing even in moderate system size. One way to boost the efficiency of state tomography is via local me…