Jan 1, 2020 · Abstract:We introduce the reinforcement quantum annealing (RQA) scheme in which an intelligent agent interacts with a quantum annealer that ...
May 14, 2020 · This paper presents the Reinforcement Quantum Annealing (RQA) scheme that leverages the idea of learning automata to iteratively improve the ...
Jan 1, 2020 · This paper presents the Reinforcement. Quantum Annealing (RQA) scheme that leverages the idea of learning automata34 to iteratively improve the ...
Reinforcement Quantum Annealing: A Quantum-Assisted Learning ...
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We introduce the reinforcement quantum annealing (RQA) scheme in which an intelligent agent interacts with a quantum annealer that plays the stochastic ...
Jan 1, 2020 · A novel approach for reducing the NP-complete problem of Boolean satisfiability (SAT) to minimizing Ising Hamiltonians and how to apply the ...
... {Reinforcement Quantum Annealing: A Quantum-Assisted Learning Automata Approach}", month = "January", year = "2020", note = "<a href="https://arxiv.org/abs ...
We introduce the notion of reinforcement quantum annealing (RQA) scheme in which an intelligent agent searches in the space of Hamiltonians and interacts ...
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Reinforcement Quantum Annealing: A Quantum-Assisted Learning Automata Approach. Ramin Ayanzadeh, et al. We introduce the reinforcement quantum annealing (RQA) ...
As a proof-of-concept, we propose a novel approach for casting the problem of Boolean satisfiability (SAT) to Ising Hamiltonians and show how to apply the RQA ...
We introduce the reinforcement quantum annealing (RQA) scheme in which an intelligent agent interacts with a quantum annealer that plays the stochastic ...