Hamiltonian-Based Quantum Reinforcement Learning for Neural Combinatorial Optimization

Advancements in Quantum Computing (QC) and Neural Combinatorial Optimization (NCO) represent promising steps in tackling complex computational challenges. On the one hand, Variational Quantum Algorithms such as QAOA can be used to solve a wide range of combinatorial optimization problems. On the oth...

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Bibliographic Details

Published in:	2024 IEEE International Conference on Quantum Computing and Engineering (QCE) Vol. 1; pp. 1617 - 1627
Main Authors:	Kruse, Georg, Coelho, Rodrigo, Rosskopf, Andreas, Wille, Robert, Lorenz, Jeanette Miriam
Format:	Conference Proceeding
Language:	English
Published:	IEEE 15.09.2024
Subjects:	Combinatorial Optimization Graph neural networks Hands Hardware Neural Combinatorial Optimization Optimization Quantum algorithm Quantum Reinforcement Learning Reinforcement learning
Online Access:	Get full text
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