:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Peng, Yifeng, Li, Xinyi, Chen, Samuel Yen-Chi, Zhang, Kaining, Liang, Zhiding, Wang, Ying, Du, Yuxuan
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics Artificial Intelligence
Online Access:	https://arxiv.org/abs/2509.15193
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Can Classical Initialization Help Variational Quantum Circuits Escape the Barren Plateau?
by: Peng, Yifeng, et al.
Published: (2025)

Introduction to Quantum Machine Learning and Quantum Architecture Search
by: Chen, Samuel Yen-Chi, et al.
Published: (2025)

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

Hybrid Quantum Downsampling Networks
by: Peng, Yifeng, et al.
Published: (2024)

Qsco: A Quantum Scoring Module for Open-set Supervised Anomaly Detection
by: Peng, Yifeng, et al.
Published: (2024)

Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting
by: Liu, Chen-Yu, et al.
Published: (2025)

Toward Large-Scale Distributed Quantum Long Short-Term Memory with Modular Quantum Computers
by: Chen, Kuan-Cheng, et al.
Published: (2025)

Reinforcement Learning for Enhanced Advanced QEC Architecture Decoding
by: Zhou, Yidong, et al.
Published: (2026)

TITAN: A Distributed Large-Scale Trapped-Ion NISQ Computer
by: Chu, Cheng, et al.
Published: (2024)

Learning to Program Variational Quantum Circuits with Fast Weights
by: Chen, Samuel Yen-Chi
Published: (2024)

An Introduction to Quantum Reinforcement Learning (QRL)
by: Chen, Samuel Yen-Chi
Published: (2024)

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity
by: Chen, Samuel Yen-Chi
Published: (2024)

Benchmarking Quantum and Classical Sequential Models for Urban Telecommunication Forecasting
by: Chen, Chi-Sheng, et al.
Published: (2025)

Adaptive Non-local Observable on Quantum Neural Networks
by: Lin, Hsin-Yi, et al.
Published: (2025)

Quantum Super-resolution by Adaptive Non-local Observables
by: Lin, Hsin-Yi, et al.
Published: (2026)

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

Diagonal Adaptive Non-local Observables on Quantum Neural Networks
by: Tseng, Huan-Hsin, et al.
Published: (2026)

Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning
by: Chen, Samuel Yen-Chi
Published: (2024)

Federated Quantum-Train with Batched Parameter Generation
by: Liu, Chen-Yu, et al.
Published: (2024)

QCS-ADME: Quantum Circuit Search for Drug Property Prediction with Imbalanced Data and Regression Adaptation
by: Zheng, Kangyu, et al.
Published: (2025)

Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation
by: Chen, Samuel Yen-Chi, et al.
Published: (2025)

Quantum Long Short-term Memory with Differentiable Architecture Search
by: Chen, Samuel Yen-Chi, et al.
Published: (2025)

Hardware-aware Compilation for Chip-to-Chip Coupler-Connected Modular Quantum Systems
by: Du, Zefan, et al.
Published: (2025)

Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning
by: Qi, Jun, et al.
Published: (2024)

A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity
by: L'Abbate, Ryan, et al.
Published: (2024)

Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning
by: Chen, Kuan-Cheng, et al.
Published: (2024)

Meta-Learning for Quantum Optimization via Quantum Sequence Model
by: Lin, Yu-Cheng, et al.
Published: (2025)

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers
by: Du, Yuxuan, et al.
Published: (2025)

Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series
by: Chen, Kuan-Cheng, et al.
Published: (2025)

It's-A-Me, Quantum Mario: Scalable Quantum Reinforcement Learning with Multi-Chip Ensembles
by: Park, Junghoon Justin, et al.
Published: (2025)

Transfer Learning Analysis of Variational Quantum Circuits
by: Tseng, Huan-Hsin, et al.
Published: (2025)

Quantum Gradient Class Activation Map for Model Interpretability
by: Lin, Hsin-Yi, et al.
Published: (2024)

An Adaptive Weighted QITE-VQE Algorithm for Combinatorial Optimization Problems
by: Xie, Ningyi, et al.
Published: (2025)

TITAN: Query-Token based Domain Adaptive Adversarial Learning
by: Ashraf, Tajamul, et al.
Published: (2025)

Accelerated VQE: Parameter Recycling for Similar Recurring Problem Instances
by: Rohe, Tobias, et al.
Published: (2025)

Neural Architecture Search for Quantum Autoencoders
by: Agha, Hibah, et al.
Published: (2025)

Demonstration of Efficient Predictive Surrogates for Large-scale Quantum Processors
by: Liao, Wei-You, et al.
Published: (2025)

Quantum Machine Learning for UAV Swarm Intrusion Detection
by: Chen, Kuan-Cheng, et al.
Published: (2025)

Quantum-Trained Convolutional Neural Network for Deepfake Audio Detection
by: Lin, Chu-Hsuan Abraham, et al.
Published: (2024)

TimelyFreeze: Adaptive Parameter Freezing Mechanism for Pipeline Parallelism
by: Cho, Seonghye, et al.
Published: (2026)