Abstract: Binary Neural Networks (BNNs), where weights and activations are constrained to binary values (+1, −1), are a highly efficient alternative to traditional neural networks. Unfortunately, ...
Abstract: This paper presents an adaptation of the quantum binary neural network (QBNN) to reinforcement learning, enabling the network to efficiently train on a classically intractable number of ...
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