Roger Melko presented a introduction to machine learning for a physics audience at the KITP in Santa Barbara.
Roger Melko presented a introduction to machine learning for a physics audience at the KITP in Santa Barbara.
Tensor networks are a powerful tool for compressing quantum wavefunctions developed in the physics community. Parameterizing a special class of models with tensor networks brings the full power of tensor networks to machine learning tasks.
How do quantum mechanics and machine learning fit together?
Scientists from academia and industry converge on Waterloo as the Perimeter Institute hosts Quantum Machine Learning.