Frontiers in Industrial Engineering. Purdue Quantum AI

Fifth Gavriel Salvendy International Symposium, PQAI 2025, West Lafayette, IN, USA, October 23-24, 2025, Proceedings
Erscheinungsjahr 2026
ISBN: 978-981-957828-3
Verlag: Springer

Buch, Englisch, 246 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 400 g

Reihe: Communications in Computer and Information Science

This book constitutes the refereed post-conference proceedings of the Second Gavriel Salvendy International Symposium, on Frontiers in Industrial Engineering - Purdue Quantum AI, PQAI 2025, held in West Lafayette, USA, during October 23–24, 2025.

The 10 full papers, 8 short papers, and 2 extended abstracts included in this book were selected from 22 carefully reviewed submissions and seven invited submissions. These papers were categorized under following topical sections: Quantum Machine Learning and Models; Quantum Optimization and Linear Systems; Quantum Cognition and Human-Centered Computing.

Zielgruppe

Research

Autoren/Hrsg.

Aggarwal, Vaneet

Bernal Neira, David E.

Yu, Denny

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
• Naturwissenschaften Physik Quantenphysik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen

Inhaltsverzeichnis

.- Quantum Machine Learning and Models.

.- Quantum Artificial Intelligence: Reinforcement Learning, Memory Models, and Self-Programming Architectures.

.- Compact Quantum Modules for Scalable Fine-Tuning in Large Language Models.

.- Robustness of Classical and Quantum Inspired Architectures Against Structured Corruptions in Vision Tasks.

.- Geometric Origin of Fourier Coefficients in Data-Reuploading Single-Qubit Circuits.

.- Accelerating Tensor Ring VQE with Batched Contraction.

.- Satellite Constellation Scheduling with Quantum Reinforcement Learning.

.- Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach.

.- Quantum Kernel Methods for Industrial Anomaly Detection.

.- Quantum Optimization and Linear Systems.

.- An Exclusive-Sum-of-Products Pipeline for QAOA.

.- A performance comparison of variable encoding techniques for QUIO
 and QUBO problems.

.- Quantum Interior Point Methods: A Review of Developments and an Optimally Scaling Framework.

.- Benchmarking Refined Quantum Linear Systems Algorithms.

.- Building Hybrid Quantum-Classical Computing Ecosystems: A Survey.

.- Quantum Optimization via Gradient-Based Hamiltonian Descent.

.- Quantum Cognition and Human-Centered Computing.

.- Human Factors of Quantum Modeling and Computing.

.- Q-XAI: Towards Explainable Quantum Neural Networks for
 Human-Centered Intelligence.

.- QToMNet: A Quantum-enhanced Machine Theory of Mind.

.- Financial Fraud Detection with Entropy Computing.