Quantum Machine Learning

Quantum Machine Learning - Microsoft Research  #MachineLearning #AI #DataScience

  • The opportunities that quantum computing raises for machine learning is hard to understate.
  • Recent strides in quantum computing have raised the prospects that near term quantum devices can expediently solve computationally intractable problems in simulation, optimization and machine learning.
  • The workshop will consist of 4 invited talks as well as 4 contributed talks and a primer on quantum mechanics and quantum computing.
  • Steven Adachi (Application of quantum annealing to Training of Deep Neural Networks) | Slides
  • The workshop is organized by Nathan Wiebe (Microsoft Research) and Seth Lloyd (MIT).

Recent strides in quantum computing have raised the prospects that near term quantum devices can expediently solve computationally intractable problems in simulation, optimization and machine learning. The opportunities that quantum computing raises for machine learning is hard to understate. The goal of this workshop is, through a series of invited and contributed talks, survey the major results in this new area and facilitate increased dialog between researchers within this field.

@MikeTamir: Quantum Machine Learning – Microsoft Research #MachineLearning #AI #DataScience

Recent strides in quantum computing have raised the prospects that near term quantum devices can expediently solve computationally intractable problems in simulation, optimization and machine learning. The opportunities that quantum computing raises for machine learning is hard to understate. The goal of this workshop is, through a series of invited and contributed talks, survey the major results in this new area and facilitate increased dialog between researchers within this field.

We will be accepting contributed talks as well. The deadline for submission is Oct 24. An abstract and link to the paper should be provided. We will provide feedback on submissions before the deadline for early registration for NIPS. All talks given will not be published in the proceedings and will be reviewed by the conference organizers. Please sent all contributions to nawiebe@microsoft.com.

It will take place at Palais des Congrès de Montréal, Montréal, Canada as part of NIPS (Neural Information Processing Systems).

Quantum Machine Learning