Fixed-Topology UCR State Encoding for High-Dimensional Quantum Reinforcement Learning
This paper repurposes uniformly controlled rotations from static state preparation and static data encoding into a state-encoding interface for quantum neural networks, elevating the process of integrating classical states into quantum neural networks to an independent method-ological layer and achieves a more stable p...