activity
20152026
most citedRecursively Adaptive Quantum State Tomography: Theory and Two-qubit Experiment

125 citations · 463 across the 24 of their papers we have counts for

collaborators

24 papers

quant-ph2026

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…

quant-ph2025

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…

quant-ph2025

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…

quant-ph2025

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…

quant-ph2025

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…

quant-ph2024

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…

quant-ph2024

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…

quant-ph2024

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…

quant-ph2023

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…

quant-ph2023★ 2 cited

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…

quant-ph2022

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…

quant-ph2021★ 13 cited

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…

quant-ph2021

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…

quant-ph2020★ 31 cited

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,…

quant-ph2020★ 3 cited

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…

eess.SY2020★ 1 cited

Generation of accessible sets in the dynamical modelling of quantum network systems

Qi Yu, Yuanlong Wang, Daoyi Dong +2

In this paper, we consider the dynamical modeling of a class of quantum network systems consisting of qubits. Qubit probes are employed to measure a set of selected nodes of the qu…

quant-ph2020★ 10 cited

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…

quant-ph2019★ 21 cited

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…

quant-ph2018★ 35 cited

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…

eess.SY2018

Several recent developments in estimation and robust control of quantum systems

Daoyi Dong, Yuanlong Wang

This paper summarizes several recent developments in the area of estimation and robust control of quantum systems and outlines several directions for future research. Quantum state…

quant-ph2017★ 36 cited

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…

quant-ph2016★ 89 cited

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…

quant-ph2016★ 97 cited

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…

quant-ph2015★ 125 cited

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…