Self-Modulating QFWP adds adaptive modulation to quantum fast-weight updates and memory to improve stability and performance on sequential learning tasks.
A hybrid quantum-classical machine learning approach for self-interference cancellation in full-duplex transceivers,
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Self-Modulating Quantum Fast-Weight Programmers for Efficient Adaptive Sequential Learning
Self-Modulating QFWP adds adaptive modulation to quantum fast-weight updates and memory to improve stability and performance on sequential learning tasks.