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Training-efficient density quantum machine learning
Quantum machine learning requires powerful, flexible and efficiently trainable models to be successful in solving challenging problems.
Quantum Deep Hedging
Quantum machine learning has the potential for a transformative impact across industry sectors and in particular in finance.
Quantum Vision Transformers
In this work, quantum transformers are designed and analysed in detail by extending the state-of-the-art classical transformer neural network architectures known to be very performant in natural language processing and image analysis.
Quantum Reinforcement Learning via Policy Iteration
Quantum computing has shown the potential to substantially speed up machine learning applications, in particular for supervised and unsupervised learning.
