research
∙
08/23/2023
Renormalizing Diffusion Models
We explain how to use diffusion models to learn inverse renormalization ...
share
research
∙
02/27/2023
Analyzing Populations of Neural Networks via Dynamical Model Embedding
A core challenge in the interpretation of deep neural networks is identi...
research
∙
12/12/2022
Hardware-efficient learning of quantum many-body states
Efficient characterization of highly entangled multi-particle systems is...
research
∙
10/13/2022
The Complexity of NISQ
The recent proliferation of NISQ devices has made it imperative to under...
research
∙
12/01/2021
Revisiting dequantization and quantum advantage in learning tasks
It has been shown that the apparent advantage of some quantum machine le...
research
∙
12/01/2021
Quantum advantage in learning from experiments
Quantum technology has the potential to revolutionize how we acquire and...
research
∙
11/10/2021
Exponential separations between learning with and without quantum memory
We study the power of quantum memory for learning properties of quantum ...
research
∙
11/10/2021