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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Vydané v:	2024 IEEE International Conference on Quantum Computing and Engineering (QCE) Ročník 1; s. 1617 - 1627
Hlavní autori:	Kruse, Georg, Coelho, Rodrigo, Rosskopf, Andreas, Wille, Robert, Lorenz, Jeanette Miriam
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 15.09.2024
Predmet:	Combinatorial Optimization Graph neural networks Hands Hardware Neural Combinatorial Optimization Optimization Quantum algorithm Quantum Reinforcement Learning Reinforcement learning
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