Bayesian Deep Learning on a Quantum Computer

Understand

Bayesian methods in machine learning, such as Gaussian processes, have great advantages com-pared to other techniques.

• In particular, they provide estimates of the uncertainty associated with a prediction.
• Extending the Bayesian approach to deep architectures has remained a major challenge.
• Recent results connected deep feedforward neural networks with Gaussian processes, allowing training without backpropagation.