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.
Continue reading “Quantum Machine Learning”

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.
Continue reading “Quantum Machine Learning”