:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Marrder, Charles, Sun, Shuo, Holland, Murray J.
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics Machine Learning Systems and Control
Online Access:	https://arxiv.org/abs/2512.13890
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Lyapunov-Aware Quantum-Inspired Reinforcement Learning for Continuous-Time Vehicle Control: A Feasibility Study
by: Kraipatthanapong, Nutkritta, et al.
Published: (2025)

Tomography of Quantum States from Structured Measurements via quantum-aware transformer
by: Ma, Hailan, et al.
Published: (2023)

Learning Nonlinear Input-Output Maps with Dissipative Quantum Systems
by: Chen, Jiayin, et al.
Published: (2019)

Learning AC Power Flow Solutions using a Data-Dependent Variational Quantum Circuit
by: Le, Thinh Viet, et al.
Published: (2025)

A Quantum Neural Network Transfer-Learning Model for Forecasting Problems with Continuous and Discrete Variables
by: Abdulrahman, Ismael
Published: (2025)

Solving Conic Programs over Sparse Graphs using a Variational Quantum Approach: The Case of the Optimal Power Flow
by: Le, Thinh Viet, et al.
Published: (2025)

QPPG: Quantum-Preconditioned Policy Gradient for Link Adaptation in Rayleigh Fading Channels
by: Giwa, Oluwaseyi, et al.
Published: (2025)

The interplay of robustness and generalization in quantum machine learning
by: Berberich, Julian, et al.
Published: (2025)

Singularity-free dynamical invariants-based quantum control
by: Sareen, Ritik, et al.
Published: (2025)

QSTAformer: A Quantum-Enhanced Transformer for Robust Short-Term Voltage Stability Assessment against Adversarial Attacks
by: Li, Yang, et al.
Published: (2025)

From Characterization To Construction: Generative Quantum Circuit Synthesis from Gate Set Tomography Data
by: Yu, King Yiu, et al.
Published: (2026)

Quantum Neural Networks for Power Flow Analysis
by: Kaseb, Zeynab, et al.
Published: (2023)

Model-free Distortion Canceling and Control of Quantum Devices
by: Fouad, Ahmed F., et al.
Published: (2024)

Universal Dynamics with Globally Controlled Analog Quantum Simulators
by: Hu, Hong-Ye, et al.
Published: (2025)

When Does Adaptation Win? Scaling Laws for Meta-Learning in Quantum Control
by: Leclerc, Nima, et al.
Published: (2026)

Deep Learning for Low-Latency, Quantum-Ready RF Sensing
by: Gokhale, Pranav, et al.
Published: (2024)

Quantum Neural Networks for Solving Power System Transient Simulation Problem
by: Soltaninia, Mohammadreza, et al.
Published: (2024)

When to Trust Your Data: Enhancing Dyna-Style Model-Based Reinforcement Learning With Data Filter
by: Li, Yansong, et al.
Published: (2024)

Model-Based Reinforcement Learning Control of Reaction-Diffusion Problems
by: Schenk, Christina, et al.
Published: (2024)

Quantum Power Flows: From Theory to Practice
by: Liu, Junyu, et al.
Published: (2022)

Information Theoretically Optimal Sample Complexity of Learning Dynamical Directed Acyclic Graphs
by: Veedu, Mishfad Shaikh, et al.
Published: (2023)

Multi-Target Radar Search and Track Using Sequence-Capable Deep Reinforcement Learning
by: Ewers, Jan-Hendrik, et al.
Published: (2025)

Adaptive Testing Environment Generation for Connected and Automated Vehicles with Dense Reinforcement Learning
by: Yang, Jingxuan, et al.
Published: (2024)

Hybrid Quantum-Classical Policy Gradient for Adaptive Control of Cyber-Physical Systems: A Comparative Study of VQC vs. MLP
by: Aueawatthanaphisut, Aueaphum, et al.
Published: (2025)

Offline Reinforcement Learning and Sequence Modeling for Downlink Link Adaptation
by: Peri, Samuele, et al.
Published: (2024)

Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control
by: Zhong, Yaofeng Desmond, et al.
Published: (2019)

Diffusion Sequence Models for Generative In-Context Meta-Learning of Robot Dynamics
by: Moroncelli, Angelo, et al.
Published: (2026)

A Safe Reinforcement Learning Algorithm for Supervisory Control of Power Plants
by: Sun, Yixuan, et al.
Published: (2024)

Dyna-Style Reinforcement Learning Modeling and Control of Non-linear Dynamics
by: Abdelsalam, Karim, et al.
Published: (2025)

A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle
by: Yasami, Amirreza, et al.
Published: (2025)

SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning
by: Zolman, Nicholas, et al.
Published: (2024)

Time-Varying Deep State Space Models for Sequences with Switching Dynamics
by: Karilanova, Sanja, et al.
Published: (2026)

Stochastic Resetting Accelerates Policy Convergence in Reinforcement Learning
by: Zhou, Jello, et al.
Published: (2026)

Quantum Advantage in Multi Agent Reinforcement Learning
by: Dahia, Simranjeet Singh, et al.
Published: (2026)

A Control Theoretic Framework for Adaptive Gradient Optimizers in Machine Learning
by: Chakrabarti, Kushal, et al.
Published: (2022)

Learning Plasma Dynamics and Robust Rampdown Trajectories with Predict-First Experiments at TCV
by: Wang, Allen M., et al.
Published: (2025)

Hybrid Meta-Learning Framework for Anomaly Forecasting in Nonlinear Dynamical Systems via Physics-Inspired Simulation and Deep Ensembles
by: Bereketoglu, Abdullah Burkan
Published: (2025)

Resilient Constrained Reinforcement Learning
by: Ding, Dongsheng, et al.
Published: (2023)

Iterative quantum optimisation with a warm-started quantum state
by: Yuan, Haomu, et al.
Published: (2025)

Position: The Need for Ultrafast Training
by: Hoang, Duc
Published: (2026)