Cover Image

Efficient Learning Algorithms for Noisy Quantum State and Process Tomography

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Chenyang, Zhuang, Shengxin, Zhang, Yukun, Wang, Jingbo B., Yuan, Xiao, Wu, Yusen, Wang, Chuan
Format:	Preprint
Published:	2026
Subjects:	Quantum Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning the Complexity of Weakly Noisy Quantum States
by: Wu, Yusen, et al.
Published: (2023)

Hamiltonian Dynamics Learning: A Scalable Approach to Quantum Process Characterization
by: Wu, Yusen, et al.
Published: (2025)

Classical Algorithms for Hamiltonian Dynamics Mean Value and Guided Local Hamiltonian Problem
by: Wu, Yusen, et al.
Published: (2024)

A Dequantized Algorithm for the Guided Local Hamiltonian Problem
by: Zhang, Yukun, et al.
Published: (2024)

Heisenberg-Limited Quantum Eigenvalue Estimation for Non-normal Matrices
by: Zhang, Yukun, et al.
Published: (2025)

Measuring Less to Learn More: Quadratic Speedup in learning Nonlinear Properties of Quantum Density Matrices
by: Zhang, Yukun, et al.
Published: (2025)

Quantum Computing for Option Portfolio Analysis
by: Wu, Yusen, et al.
Published: (2024)

Quantum Autoencoder: An efficient approach to quantum feature map generation
by: Zhuang, Shengxin, et al.
Published: (2025)

Non-Hemolytic Peptide Classification Using A Quantum Support Vector Machine
by: Zhuang, Shengxin, et al.
Published: (2024)

Designing Shadow Tomography Protocols by Natural Language Processing
by: Wu, Yadong, et al.
Published: (2025)

Quantum Encoding of Structured Data with Matrix Product States
by: Green, Josh, et al.
Published: (2025)

Efficient Circuit-Based Quantum State Tomography via Sparse Entry Optimization
by: Li, Chi-Kwong, et al.
Published: (2024)

Machine Learning Enhanced Quantum State Tomography on FPGA
by: Wu, Hsun-Chung, et al.
Published: (2025)

Efficient Preparation of Quantum States via Randomized Truncation
by: Wang, Yue, et al.
Published: (2025)

Analysis of the Non-variational Quantum Walk-based Optimisation Algorithm
by: Bennett, Tavis, et al.
Published: (2024)

Quantum State Preparation via Schmidt Spectrum Optimisation
by: Green, Josh, et al.
Published: (2025)

Efficient Quantum Simulation of Open Quantum System Dynamics on Noisy Quantum Computers
by: Sun, Shin, et al.
Published: (2021)

Wigner State and Process Tomography on Near-Term Quantum Devices
by: Devra, Amit, et al.
Published: (2023)

Fourier Quantum Process Tomography
by: Di Colandrea, Francesco, et al.
Published: (2023)

CTQWformer: A CTQW-based Transformer for Graph Classification
by: Li, Zhan, et al.
Published: (2026)

Scalable Quantum Algorithms for Noisy Quantum Computers
by: Gacon, Julien
Published: (2024)

Exploring Noisy Quantum Thermodynamical Processes via the Depolarizing-Channel Approximation
by: Li, Jian, et al.
Published: (2026)

Enhanced Algorithmic Perfect State Transfer on IBM Quantum Computers
by: Ge, Zong-Yuan, et al.
Published: (2025)

Heisenberg limited quantum algorithm for estimating the fidelity susceptibility
by: Zhang, Yukun, et al.
Published: (2025)

Distributed Learning of Quantum State Tomography Robust to Readout Errors
by: Taherpour, Amirhossein, et al.
Published: (2026)

Mitigating Non-Markovian and Coherent Errors Using Quantum Process Tomography of Proxy States
by: Chen, I-Chi, et al.
Published: (2024)

Efficient Convex Optimization for Bosonic State Tomography
by: Li, Shengyong, et al.
Published: (2025)

Efficiently Learning Global Quantum Channels with Local Tomography
by: Liu, Zidu, et al.
Published: (2026)

SparQSim: Simulating Scalable Quantum Algorithms via Sparse Quantum State Representations
by: Sun, Tai-Ping, et al.
Published: (2025)

A Fine-Grained and Efficient Reliability Analysis Framework for Noisy Quantum Circuits
by: Wu, Jindi, et al.
Published: (2026)

Active Learning with Variational Quantum Circuits for Quantum Process Tomography
by: Yang, Jiaqi, et al.
Published: (2024)

Obtaining Accurate Ground-State Properties on Near-term Quantum Devices
by: Ding, Qi-Ming, et al.
Published: (2025)

Machine Learning for Quantum State Tomography: Robust Covariance Matrix Estimation for Squeezed Vacuum States with Thermal Noise
by: Rodrıguez, Juan Camilo, et al.
Published: (2025)

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment
by: Wang, Zhao-Wei, et al.
Published: (2025)

Quantum Machine Learning for State Tomography Using Classical Data
by: Jabeen, Shabnam, et al.
Published: (2025)

Sample-Efficient Quantum State Tomography for Structured Quantum States in One Dimension
by: Qin, Zhen, et al.
Published: (2024)

Gaussian Dynamical Quantum State Tomography
by: Rall, Hjalmar
Published: (2026)

Neural-Shadow Quantum State Tomography
by: Wei, Victor, et al.
Published: (2023)

Efficient Shadow Tomography of Thermal States
by: Chen, Chi-Fang, et al.
Published: (2026)

Fourier Spectrum of Noisy Quantum Algorithms
by: Girish, Uma
Published: (2025)