Quantum Computing and Artificial Intelligence
Quantum Computing and Artificial Intelligence
Second International Workshop, QC+AI 2026, Singapore, January 27, 2026, Proceedings
Ali, Shaukat; Chicano, Francisco; Moraglio, Alberto
Springer Nature Switzerland AG
02/2026
117
Mole
Inglês
9783032176240
15 a 20 dias
Descrição não disponível.
.- Saving resources with Quantum Agents.
.- QUBO-Based Subset Selection for Efficient Fine-Tuning of Vision-Language Models.
.- Hybrid Learning and Optimization methods for solving Capacitated Vehicle Routing Problem.
.- Learning-Based Graph Shrinking for Quantum Optimization of Constrained Combinatorial Problems.
.- Hybrid Quantum-Classical Framework for Acute Hypotension Control.
.- Quantum Kernel Methods for Brain Aneurysm Risk Classification.
.- QuCoWE: Quantum Contrastive Word Embeddings with Variational Circuits for Near-Term Quantum Devices.
.- QGShap: Quantum Acceleration for Faithful GNN Explanations.
.- QUBO-Based Subset Selection for Efficient Fine-Tuning of Vision-Language Models.
.- Hybrid Learning and Optimization methods for solving Capacitated Vehicle Routing Problem.
.- Learning-Based Graph Shrinking for Quantum Optimization of Constrained Combinatorial Problems.
.- Hybrid Quantum-Classical Framework for Acute Hypotension Control.
.- Quantum Kernel Methods for Brain Aneurysm Risk Classification.
.- QuCoWE: Quantum Contrastive Word Embeddings with Variational Circuits for Near-Term Quantum Devices.
.- QGShap: Quantum Acceleration for Faithful GNN Explanations.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Quantum Artificial Intelligence;Quantum Annealing;Quantum Machine Learning;QUBO;theoretical foundations of QAI algorithms;applications of QAI;noise reduction;classical AI for quantum software engineering;classical AI for circuit design
.- Saving resources with Quantum Agents.
.- QUBO-Based Subset Selection for Efficient Fine-Tuning of Vision-Language Models.
.- Hybrid Learning and Optimization methods for solving Capacitated Vehicle Routing Problem.
.- Learning-Based Graph Shrinking for Quantum Optimization of Constrained Combinatorial Problems.
.- Hybrid Quantum-Classical Framework for Acute Hypotension Control.
.- Quantum Kernel Methods for Brain Aneurysm Risk Classification.
.- QuCoWE: Quantum Contrastive Word Embeddings with Variational Circuits for Near-Term Quantum Devices.
.- QGShap: Quantum Acceleration for Faithful GNN Explanations.
.- QUBO-Based Subset Selection for Efficient Fine-Tuning of Vision-Language Models.
.- Hybrid Learning and Optimization methods for solving Capacitated Vehicle Routing Problem.
.- Learning-Based Graph Shrinking for Quantum Optimization of Constrained Combinatorial Problems.
.- Hybrid Quantum-Classical Framework for Acute Hypotension Control.
.- Quantum Kernel Methods for Brain Aneurysm Risk Classification.
.- QuCoWE: Quantum Contrastive Word Embeddings with Variational Circuits for Near-Term Quantum Devices.
.- QGShap: Quantum Acceleration for Faithful GNN Explanations.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.