6 papers
Estimation of a sparse multi-qubit Hamiltonian via compressed sensing
Juntao Tu, Yuanlong Wang, Shuming Cheng +2
Hamiltonian estimation is an effective approach in studying the structure and dynamical evolution of quantum systems. The difficulty in estimating the Hamiltonian is that an -qu…
Generalized collective quantum tomography: algorithm design, optimization, and validation
Shuixin Xiao, Yuanlong Wang, Zhibo Hou +6
Quantum tomography is a fundamental technique for characterizing, benchmarking, and verifying quantum states and devices. It plays a crucial role in advancing quantum technologies…
Quantum Assemblage Tomography
Luis Villegas-Aguilar, Yuanlong Wang, Alex Pepper +7
A central requirement in asymmetric quantum nonlocality protocols, such as quantum steering, is the precise reconstruction of state assemblages -- statistical ensembles of quantum…
Unified formalism and adaptive algorithms for optimal quantum state, detector and process tomography
Shuixin Xiao, Xiangyu Wang, Yuanlong Wang +8
Quantum tomography is a standard technique for characterizing, benchmarking and verifying quantum systems/devices and plays a vital role in advancing quantum technology and underst…
Efficient learning and optimizing non-Gaussian correlated noise in digitally controlled qubit systems
Wenzheng Dong, Yuanlong Wang, Muhammad Qasim Khan
Precise qubit control in the presence of spatio-temporally correlated noise is pivotal for transitioning to fault-tolerant quantum computing. Generically, such noise can also have…
Simultaneous estimations of quantum state and detector through multiple quantum processes
Shuixin Xiao, Weichao Liang, Yuanlong Wang +3
The estimation of all the parameters in an unknown quantum state or measurement device, commonly known as quantum state tomography (QST) and quantum detector tomography (QDT), is c…