Frontiers in Industrial Engineering. Purdue Quantum AI
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Frontiers in Industrial Engineering. Purdue Quantum AI
Second Gavriel Salvendy International Symposium, PQAI 2025, West Lafayette, IN, USA, October 23-24, 2025, Proceedings
Aggarwal, Vaneet; Bernal Neira, David E.; Yu, Denny
Springer Verlag, Singapore
05/2026
Mole
Inglês
9789819578283
Pré-lançamento - envio 15 a 20 dias após a sua edição
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.- 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.
.- 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Quantum Machine Learning and Models;Quantum Optimization and Linear Systems;Quantum Cognition and Human-Centered Computing;quantum computing;optimization;reinforcement learning
.- 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.
.- 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
