125 citations · 463 across the 24 of their papers we have counts for
22 papers · 1 filter
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…
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…
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…
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…
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…
Broadband spectroscopy of quantum noise
Yuanlong Wang, Gerardo A. Paz-Silva
Characterizing noise is key to the optimal control of the quantum system it affects. Using a single-qubit probe and appropriate sequences of and non- pulses, we show how one…
A two-stage solution to quantum process tomography: error analysis and optimal design
Shuixin Xiao, Yuanlong Wang, Jun Zhang +4
Quantum process tomography is a critical task for characterizing the dynamics of quantum systems and achieving precise quantum control. In this paper, we propose a two-stage soluti…
Two-stage solution for ancilla-assisted quantum process tomography: error analysis and optimal design
Shuixin Xiao, Yuanlong Wang, Daoyi Dong +1
Quantum process tomography (QPT) is a fundamental task to characterize the dynamics of quantum systems. In contrast to standard QPT, ancilla-assisted process tomography (AAPT) fram…
Scalable multiparty steering based on a single pair of entangled qubits
Alex Pepper, Travis. J. Baker, Yuanlong Wang +8
The distribution and verification of quantum nonlocality across a network of users is essential for future quantum information science and technology applications. However, beyond…
On the regularization and optimization in quantum detector tomography
Shuixin Xiao, Yuanlong Wang, Jun Zhang +4
Quantum detector tomography (QDT) is a fundamental technique for calibrating quantum devices and performing quantum engineering tasks. In this paper, we utilize regularization to i…
Certified Random Number Generation from Quantum Steering
Dominick J. Joch, Sergei Slussarenko, Yuanlong Wang +6
The ultimate random number generators are those certified to be unpredictable -- including to an adversary. The use of simple quantum processes promises to provide numbers that no…
Optimal and two-step adaptive quantum detector tomography
Shuixin Xiao, Yuanlong Wang, Daoyi Dong +1
Quantum detector tomography is a fundamental technique for calibrating quantum devices and performing quantum engineering tasks. In this paper, we design optimal probe states for d…
Frame-Based Filter-Function Formalism for Quantum Characterization and Control
Teerawat Chalermpusitarak, Behnam Tonekaboni, Yuanlong Wang +3
We introduce a theoretical framework for resource-efficient characterization and control of non-Markovian open quantum systems, which naturally allows for the integration of given,…
On compression rate of quantum autoencoders: Control design, numerical and experimental realization
Hailan Ma, Chang-Jiang Huang, Chunlin Chen +4
Quantum autoencoders which aim at compressing quantum information in a low-dimensional latent space lie in the heart of automatic data compression in the field of quantum informati…
On the capability of a class of quantum sensors
Qi Yu, Yuanlong Wang, Daoyi Dong +1
Quantum sensors may provide extremely high sensitivity and precision to extract key information in a quantum or classical physical system. A fundamental question is whether a quant…
Two-stage Estimation for Quantum Detector Tomography: Error Analysis, Numerical and Experimental Results
Yuanlong Wang, Shota Yokoyama, Daoyi Dong +3
Quantum detector tomography is a fundamental technique for calibrating quantum devices and performing quantum engineering tasks. In this paper, a novel quantum detector tomography…
Quantum Hamiltonian Identifiability via a Similarity Transformation Approach and Beyond
Yuanlong Wang, Daoyi Dong, Akira Sone +3
The identifiability of a system is concerned with whether the unknown parameters in the system can be uniquely determined with all the possible data generated by a certain experime…
Quantum gate identification: error analysis, numerical results and optical experiment
Yuanlong Wang, Qi Yin, Daoyi Dong +5
The identification of an unknown quantum gate is a significant issue in quantum technology. In this paper, we propose a quantum gate identification method within the framework of q…
A Quantum Hamiltonian Identification Algorithm: Computational Complexity and Error Analysis
Yuanlong Wang, Daoyi Dong, Bo Qi +3
Quantum Hamiltonian identification is important for characterizing the dynamics of quantum systems, calibrating quantum devices and achieving precise quantum control. In this paper…
Full reconstruction of a 14-qubit state within four hours
Zhibo Hou, Han-Sen Zhong, Ye Tian +8
Full quantum state tomography (FQST) plays a unique role in the estimation of the state of a quantum system without \emph{a priori} knowledge or assumptions. Unfortunately, since F…
Recursively Adaptive Quantum State Tomography: Theory and Two-qubit Experiment
Bo Qi, Zhibo Hou, Yuanlong Wang +7
Adaptive techniques have important potential for wide applications in enhancing precision of quantum parameter estimation. We present a recursively adaptive quantum state tomograph…