AI RESEARCH
Enhanced Reinforcement Learning-based Process Synthesis via Quantum Computing
arXiv CS.LG
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ArXi:2605.21213v1 Announce Type: cross In this work, we present quantum reinforcement learning (RL) as a solution strategy for process synthesis problems. Building on our prior work, we develop a generalized framework that formally poses process synthesis as a Marko decision process and