For online events, details are sent out the week of the event. Join our community to receive them!
Quantum differentiable programming: training a quantum computer like a neural network
Killoran, Nathan - Xanadu
Presentation on Thursday, March 18, 2021, noon
Location: Virtual Seminars over Zoom Until Further Notice
Ideas that first became popular and widespread in deep learning have now evolved to the larger realm of "differentiable programming". Put simply, differentiable programming is based on the idea that all software should be trainable, not just neural networks. This idea can be adapted as well to the field of quantum computing. In this talk, I will discuss how the ideas of automatic differentiation, optimization, and training can be applied to quantum computations, executed on quantum hardware, and even integrated with classical processing, to allow for end-to-end trainable hybrid quantum-classical computations.