Imagen de Portada

Adaptive Online Learning of Quantum States

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Chen, Xinyi, Hazan, Elad, Li, Tongyang, Lu, Zhou, Wang, Xinzhao, Yang, Rui
Formato:	Preprint
Publicado:	2022
Materias:	Machine Learning Quantum Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Near-Optimal Quantum Algorithms for Computing (Coarse) Correlated Equilibria of General-Sum Games
por: Li, Tongyang, et al.
Publicado: (2025)

Instance-Optimal Matrix Multiplicative Weight Update and Its Quantum Applications
por: Gong, Weiyuan, et al.
Publicado: (2025)

Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games
por: Gao, Minbo, et al.
Publicado: (2023)

QCircuitBench: A Large-Scale Dataset for Benchmarking Quantum Algorithm Design
por: Yang, Rui, et al.
Publicado: (2024)

A Quantum Algorithm Framework for Discrete Probability Distributions with Applications to Rényi Entropy Estimation
por: Wang, Xinzhao, et al.
Publicado: (2022)

Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret
por: Zhong, Han, et al.
Publicado: (2023)

Quantum Langevin Dynamics for Optimization
por: Chen, Zherui, et al.
Publicado: (2023)

Spectral State Space Models
por: Agarwal, Naman, et al.
Publicado: (2023)

Adaptive Regret for Bandits Made Possible: Two Queries Suffice
por: Lu, Zhou, et al.
Publicado: (2024)

Introduction to Online Control
por: Hazan, Elad, et al.
Publicado: (2022)

Online Learning Quantum States with the Logarithmic Loss via VB-FTRL
por: Tseng, Wei-Fu, et al.
Publicado: (2023)

Quantum Multi-Level Estimation of Functionals of Discrete Distributions
por: Chen, Kean, et al.
Publicado: (2026)

Breaking Through Barren Plateaus: Reinforcement Learning Initializations for Deep Variational Quantum Circuits
por: Peng, Yifeng, et al.
Publicado: (2025)

Quantum Algorithms for Bandits with Knapsacks with Improved Regret and Time Complexities
por: Su, Yuexin, et al.
Publicado: (2025)

Quantum Algorithms and Lower Bounds for Finite-Sum Optimization
por: Zhang, Yexin, et al.
Publicado: (2024)

Quantum Algorithm for Sparse Online Learning with Truncated Gradient Descent
por: Lim, Debbie, et al.
Publicado: (2024)

Simulating Non-Markovian Open Quantum Dynamics with Neural Quantum States
por: Cao, Long, et al.
Publicado: (2024)

Quantum Non-Identical Mean Estimation: Efficient Algorithms and Fundamental Limits
por: Hu, Jiachen, et al.
Publicado: (2024)

Adaptive Learning for Quantum Linear Regression
por: Carugno, Costantino, et al.
Publicado: (2024)

Randomized Quantum Singular Value Transformation
por: Wang, Xinzhao, et al.
Publicado: (2025)

Quantum Adaptive Self-Attention for Quantum Transformer Models
por: Chen, Chi-Sheng, et al.
Publicado: (2025)

Spectral Filtering for Complex Linear Dynamical Systems
por: Hazan, Elad, et al.
Publicado: (2026)

Online Control in Population Dynamics
por: Golowich, Noah, et al.
Publicado: (2024)

Quantum Mixed-State Self-Attention Network
por: Chen, Fu, et al.
Publicado: (2024)

Quantum Generative Diffusion Model: A Fully Quantum-Mechanical Model for Generating Quantum State Ensemble
por: Chen, Chuangtao, et al.
Publicado: (2024)

Universal Sequence Preconditioning
por: Marsden, Annie, et al.
Publicado: (2025)

The Power of Second Order Methods for Sequence Preconditioning
por: Marsden, Annie, et al.
Publicado: (2026)

A Strategy for Preparing Quantum Squeezed States Using Reinforcement Learning
por: Zhao, X. L., et al.
Publicado: (2024)

Explainable Representation Learning of Small Quantum States
por: Frohnert, Felix, et al.
Publicado: (2023)

Reinforcement Learning for Adaptive Composition of Quantum Circuit Optimisation Passes
por: Mills, Daniel, et al.
Publicado: (2026)

Quantum singular value transformation without block encodings: Near-optimal complexity with minimal ancilla
por: Chakraborty, Shantanav, et al.
Publicado: (2025)

DQC1-completeness of normalized trace estimation for functions of log-local Hamiltonians
por: Ji, Zhengfeng, et al.
Publicado: (2026)

Efficient Classical Sampling from Gaussian Boson Sampling Distributions on Unweighted Graphs
por: Zhang, Yexin, et al.
Publicado: (2025)

Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits
por: Yu, Zhan, et al.
Publicado: (2023)

Quantum Compiling with Reinforcement Learning on a Superconducting Processor
por: Wang, Z. T., et al.
Publicado: (2024)

Quantum Reinforcement Learning by Adaptive Non-local Observables
por: Lin, Hsin-Yi, et al.
Publicado: (2025)

QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits
por: Chen, Tianlong, et al.
Publicado: (2024)

Quantum State Generation with Structure-Preserving Diffusion Model
por: Zhu, Yuchen, et al.
Publicado: (2024)

SuperEncoder: Towards Universal Neural Approximate Quantum State Preparation
por: Zhao, Yilun, et al.
Publicado: (2024)

HQCC: A Hybrid Quantum-Classical Classifier with Adaptive Structure
por: Zhao, Ren-Xin, et al.
Publicado: (2025)