Recurrent Quantum Neural Networks

Understand

Recurrent neural networks are the foundation of many sequence-to-sequence models in machine learning, such as machine translation and speech synthesis.

• In contrast, applied quantum computing is in its infancy.
• Nevertheless there already exist quantum machine learning models such as variational quantum eigensolvers which have been used successfully e.g.
• in the context of energy minimization tasks.